Podcasts about Google Maps

Is your roofing business not getting enough calls????? https://www.roofingwebmasters.com/????(800) 353-5758 In this episode, we break down why roofing contractors struggle to generate phone leads even when they have a website, Google Business Profile, and social media pages.The problem usually is not “people are not searching.” The problem is that your roofing company is not showing up with enough trust, local SEO strength, reviews, service-area relevance, and conversion-focused content.We cover the biggest reasons roofers miss out on calls, including weak Google Maps rankings, poor website structure, thin service pages, bad tracking, lack of job photos, and not building enough authority in their local market.If you want more roofing leads, better Google rankings, and more calls from homeowners in your service area, this episode will help you understand what needs to change. Subscribe for more Roofer SEO, Google Business Profile, and contractor marketing tips. ‪‪@roofingwebmasters‬ Schedule a call with Nolen➡️ Visit info.roofingwebmasters.com for LEARN MORE! 

The NY Knicks make $20M each Finals home game… but wasted $420k on Free Tees.SpaceX's IPO breaks so many rules, it's inspired by a Rolling Stones song… Take it or leave it.Why did Dua Lipa partner with Google Maps?... Because Maps is the future of social networks.Plus, it's LA's glow-conomy… The highest per-capita-pilates studios in the country.And it's all liiiiiive from lovely Los Angeles with another Sold Out show.Want to see the LIVE show in action? Watch it on YouTube or check out the highlights on Instagram @tboypod.And tomorrow we're publishing our full LIVE interview with special guest TBDNEWSLETTER:https://tboypod.com/newsletter OUR 2ND SHOW:Want more business storytelling from us? Check our weekly deepdive show, The Best Idea Yet: The untold origin story of the products you're obsessed with. Listen for free to The Best Idea Yet: https://wondery.com/links/the-best-idea-yet/NEW LISTENERSFill out our 2 minute survey: https://qualtricsxm88y5r986q.qualtrics.com/jfe/form/SV_dp1FDYiJgt6lHy6GET ON THE POD: Submit a shoutout or fact: https://tboypod.com/shoutouts SOCIALS:Instagram: https://www.instagram.com/tboypod TikTok: https://www.tiktok.com/@tboypodYouTube: https://www.youtube.com/@tboypod Linkedin (Nick): https://www.linkedin.com/in/nicolas-martell/Linkedin (Jack): https://www.linkedin.com/in/jack-crivici-kramer/Anything else: https://tboypod.com/ About Us: The daily pop-biz news show making today's top stories your business. Formerly known as Robinhood Snacks, The Best One Yet is hosted by Jack Crivici-Kramer & Nick Martell. Hosted on Acast. See acast.com/privacy for more information.

Is your roofing company losing calls because your Google Maps ranking is dropping? https://www.roofingwebmasters.com/In this video, we break down the *top 3 roofing SEO mistakes* that can kill your Google Maps rankings, hurt your local visibility, and keep homeowners from finding your business when they search for roofing services near them.If your roofing company wants more calls from Google, Google Maps, and local search, you need more than a basic website. You need real job proof, strong local SEO signals, optimized service area pages, consistent Google Business Profile activity, and a digital brand that builds trust.The biggest mistake most roofers make is thinking Google Maps rankings happen by luck. They don't. Your competitors are building authority, collecting reviews, adding proof of real jobs, and showing Google why they deserve to rank higher.???? Want your roofing company to rank higher on Google and get more local leads? Schedule a call with Roofing Webmasters:https://www.roofingwebmasters.com/???? Learn how DataPins helps roofers build real job proof, strengthen local SEO, and show Google where they actually do work:???? https://info.roofingwebmasters.com/???? (800) 353-5758Not ready to schedule a call yet? Follow ‪@roofingwebmasters‬ for weekly tips on Google Maps, local SEO, AI search, and how roofing companies can build a stronger online presence.

While New York City is home to some of the best restaurants and cuisine in the world, the price of eating out can come as a shock to many visitors. In this episode, we're going to explore the real cost of eating and drinking in New York City and give you some tips to save money and budget effectively for your meals while visiting New York City. Let's do it.

Google and Microsoft Bing have been sharing more details about how AI-powered search works, and the advice may surprise you. Despite all the hype around AI, the fundamentals of strong local SEO still matter.In this episode, you'll learn what Google and Bing are saying about AI search, how Google Business Profiles, websites, reviews, social media, and authority-building influence visibility, and what clinics should focus on right now to improve rankings in Google Search, Google Maps, ChatGPT, Perplexity, and other AI-powered platforms.If you're wondering how AI is changing SEO for chiropractors, physical therapists, acupuncturists, med spas, and other healthcare businesses, this episode will help you separate fact from fiction and focus on the strategies that are actually moving the needle.Episode webpage: https://propelyourcompany.com/how-ai-search-works-for-clinics/Send in your questions. ❤ We'd love to hear from you!Webinar: The Hidden SEO Mistakes Costing Clinics Patients Right Now (And Easy Fixes You Can Start Making This Week)Save your spot: https://propelyourcompany.com/june/** Can't make it live? Register anyway. You'll get access to the limited-time replay. *** 

In this episode, I talk about Tapio Lehtinen's recent Bahamas trip and lessons we can take from it, using Google Maps to find coordinates of anchorages or dive spots and transfering them to Navionics, I read select passages from Bernard Moitessier's "A Sea Vagabond's World" and discuss them, including why it is advantageous to learn to sail in a dinghy, learning to sail offshore, anchoring, chain vs rope, snubbers, secondary anchors, things to do before heading out to sea, getting to know your boat, making landfall, sailing without a schedule, weighing anchor, using clouds to forecast weather, hurricanes and signs they are coming, maneuvering out of a hurricane and avoiding the eye, heaving-to, a GGR announcement, and how I broke my foot. Links are on the podcast shownotes page Support the show through Patreon 

Llegó la Parte 2 de esta guía práctica con 25 trucos y trampas de Gemini 3.5 Flash. En el episodio anterior vimos cómo usar Gemini con memoria, prompts avanzados, Gmail, Drive, Sheets, traducciones, Google Fotos y organización de ideas. Pero ahora vamos un paso más allá: en esta segunda parte te muestro cómo usar Gemini 3.5 Flash para ordenar reuniones, analizar miniaturas, revisar propuestas comerciales, buscar documentos técnicos, crear rutas en Google Maps, resumir videos, generar simuladores interactivos, comparar precios, planificar compras, armar documentos en Drive y hasta diseñar itinerarios personalizados de viaje.Lo importante no es solamente que Gemini responda rápido. Lo interesante es cómo puede convertirse en un asistente real si le das contexto, conectás bien tus herramientas y aprendés a pedirle las cosas con precisión. También vas a ver algo clave: Gemini puede ayudarte muchísimo, pero no todo lo que responde debe tomarse como verdad absoluta. Hay momentos donde puede inventar datos o completar información que no tiene confirmada. Por eso esta guía no es solo de trucos: también es de trampas, límites y buenas prácticas para usar inteligencia artificial sin confiarse de más. Esta es la continuación directa de la Parte 1. Si todavía no la viste, te recomiendo verla primero para entender el flujo completo. En total son 25 ejemplos reales para usar Gemini 3.5 Flash en productividad, contenido, trabajo, viajes, compras, investigación y organización personal. Suscribite a idearVlog porque esto recién empieza: la inteligencia artificial ya no es una promesa, es una herramienta diaria… pero hay que saber usarla.00:00 Intro: bienvenidos a la Parte 200:19 Truco 15: transformar ideas desordenadas en una minuta prolija01:06 Truco 16: analizar por qué funcionó una miniatura01:49 Truco 17: revisar menciones comerciales desde Gmail02:11 Truco 18: buscar documentos técnicos en Google Drive03:04 Truco 19: planificar recorridos de grabación con Google Maps03:58 Truco 20: resumir videos y extraer puntos clave04:51 Truco 21: crear simulaciones y representaciones interactivas05:43 Truco 22: buscar ofertas y links de compra en la web06:21 Truco 23: analizar precios históricos y mejores momentos para comprar07:22 Truco 24: convertir comparativas en documentos de Drive08:01 Truco 25: usar Gemini como asistente de viajes personalizado09:00 Cierre: formato en dos partes y llamado a comentar

Send us Fan Mail In this Duda webinar, Darren Shaw and Mike Blumenthal explore the paradigm shift occurring in local search as Google increasingly incorporates generative AI into Google Business Profiles and Google Maps. Through new features like "Know Before You Go" and the conversational "Ask Maps," local discovery is transitioning from a deterministic ranking model to a highly personalized, context-aware ecosystem. Blumenthal demonstrates how to leverage Ask Maps for deep competitive analysis to pinpoint market weaknesses and operational gaps. The speakers emphasize that while traditional SEO remains foundational "table stakes," long-term visibility in the AI era requires businesses to cultivate a deeply revered brand through comprehensive website data, widespread consumer sentiment, community engagement, and niche specialization. Subscribe to our newsletters and other content at https://www.nearmedia.co/subscribe/

Zero-click search is changing how local customers find and choose businesses. More people are making decisions directly from Google Maps, reviews, AI summaries, and business profiles without ever visiting a website.Today we break down how AI and zero-click search are reshaping local SEO and what business owners need to do to stay visible and competitive. We cover why Google Business Profiles matter more than ever, how reviews and photos influence trust, and how AI tools are creating shortlists before customers even click.Most importantly, we share practical strategies local businesses can implement right now to improve visibility, build trust faster, and adapt to how customers actually search today.About Adam Duran, Digital Marketing Expert⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Local SEO in 10⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ is helmed by Local SEO expert Adam Duran, director of Magnified Media. With offices in San Francisco, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Los Angeles⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & Walnut Creek, California, Magnified Media is a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠digital marketing agency⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ focused on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠local SEO for businesses⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠marketing strategy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠national SEO⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website design⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠and qualified customer lead generation for companies of all sizes.Magnified Media helps companies take control of their marketing by:• getting their website seen at the top of Google rankings,• getting them more online reviews, and• creating media content that immediately engages with their audience.Adam enjoys volunteering with CoCoSAR, hiking and BJJ.About Jamie Duran, host of Local SEO in 10Local business owner Jamie Duran is the owner of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Solar Harmonics⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Northern California⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠'s top-rated solar company, which invites its customers to “Own Their Energy” by purchasing a solar panel system for their home, business, or farm.  You can check out the website for the⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ top solar energy equipment installer⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Solar Harmonics, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Thanks for joining us this week! Want to subscribe to Local SEO in 10? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us on iTunes and leave us a review.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Have a question about Local SEO? Chances are we've covered it! Go to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website and sign up for our Newsletter!

This Week In Startups is made possible by:Render - render.com/twistDeel - deel.com/twistNorthwest Registered Agent - northwestregisteredagent.com/twistToday's show:The "Ryanair of drone delivery" just raised $50 million and plans to bring its technology from Europe to the United States. Manna founder Bobby Healy explains to TWiST how his Dublin-based company completed 300,000 deliveries while some rivals are still publishing blog posts, and why low-cost airline economics will decide who wins the autonomous skies.Sticking to the drone theme, TWiST welcomed Theseus co-founder Ian Laffey, who called in from Kyiv to tell us about his company's drone guidance system. It runs off a simple camera and Google Maps. The technology could rewrite the modern, GPS-jammed battlefield, and bring more firepower to smaller nations fending off larger foes.Guest Links:Manna https://www.manna.aeroBobby Healy https://www.linkedin.com/in/bhealy/Manna funding announcement https://www.manna.aero/blog/series-bTheseus https://www.theseus.us/Ian Laffey https://www.linkedin.com/in/ilaffey2/Most recent Theseus funding announcement https://techcrunch.com/2025/04/17/defense-tech-theseus-landed-y-combinator-the-us-special-forces-and-4-3m-from-a-tweet/The tweet that kickstarted Theseus: https://x.com/ilaffey2/status/1759353732075294766Timestamps:0:00 Bobby Healy of Manna joins TWiST1:41 How a Manna base works: drones migrate around the city like Waymos7:18 Battle-hardened in Irish weather: 97% uptime in wind and rain8:52 Margin-positive economics & the path to $0.20 per delivery9:25 Northwest Registered Agent: Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity — Learn more at https://northwestregisteredagent.com/twist12:32 $50M Series B vs competitors raising $600–800M19:51 Deel - Founders scale faster on Deel. Set up payroll for any country in minutes, hire anyone anywhere, get visas handled fast, and get back to building. Visit https://deel.com/twist to learn more.22:53 The peer-to-peer drone future and hyper-local commerce25:46 Growing from 170 to 570 people and moving manufacturing to Oklahoma28:43 Ian Laffey of Theseus joins TWIST29:57 Render: Find out why 5 million developers are already using the all-in-one cloud platform, Render. Go to https://render.com/twist and apply for the Render Startup Program to get $500-$100,000 in free credits, depending on your stage and backers.30:58 Inside Ukraine's drone industry: front-line iteration and free-market speed33:55 How GPS gets jammed across the spectrum35:10 Theseus's approach: cameras + satellite maps + ML37:04 The product: Raspberry Pi, SD card, camera — pretending to be GPS49:02 Ukraine: 6–8M drones a year. The US: 300K over two years.51:17 Are US drone primes actually reconstituting the supply chain?58:22 Y Combinator as a defense tech accelerator59:40 "Pick an issue and start working as hard as you can towards it"Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisCheck out all our partner offers: https://partners.launch.co/Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com

Missing Google reviews can be frustrating, especially when patients tell you they left a review and it never appears, or when reviews suddenly disappear from your Google Business Profile.In this episode, we break down the most common reasons Google reviews go missing. You'll also learn what steps to take when reviews disappear, when it makes sense to contact Google Support, and how to build a review strategy that helps protect your clinic's reputation over time.If you've ever wondered why reviews vanish or what you can do about it, this episode will help you separate temporary issues from real problems and keep your focus on what matters most: consistently earning authentic patient feedback.Episode webpage, resources, and show notes: https://propelyourcompany.com/missing-google-reviews/Send in your questions. ❤ We'd love to hear from you!Webinar: The Hidden SEO Mistakes Costing Clinics Patients Right Now (And Easy Fixes You Can Start Making This Week)Save your spot: https://propelyourcompany.com/june/** Can't make it live? Register anyway. You'll get access to the limited-time replay. *** 

Welcome back, folks. I leave for a little while and the whole country turns into a yard sale run by raccoons with government grants. I step away to “recharge,” and suddenly America's got flaming cities, illiterate graduates, Google Maps running witness protection for burned neighborhoods, and Democrats trying to hide their catastrophes. But don't worry. During my absence, with the help of a few friends, I solved the world's problems. Completely solved them. Wrapped it up like leftovers at Thanksgiving. Turns out the answer was sitting right there the whole time.Dump Leftists.That's it. That's the cure. Not a committee. Not a blue-ribbon panel. Not another trillion-dollar infrastructure bill where somehow only the “consultants” get infrastructure. Just dump Leftists.Because here's the thing nobody wants to admit out loud: Leftism never voluntarily dies. It survives like glitter in carpet. You think it's gone, then six years later you find a pronoun in your vacuum cleaner.And I'm not talking about liberals from thirty years ago. Those people argued taxes and foreign policy. Today's Leftism is a traveling circus run by emotionally unstable former hall monitors. These people looked at every functioning institution in America and said, “What if we made it weaker, uglier, and sexually confusing?”And they did it.Now, there are two ways to defeat Leftism.The easy way is economic starvation. Stop feeding it. Stop funding the universities that hate your guts. Stop buying products from companies that think your daughter needs three therapists and a gender consultant before algebra class. Stop subsidizing people who openly despise the nation that made their nonsense possible.No revenue. Let it collapse under the weight of its own vegan poetry slam.The hard way? Make Leftists watch Conservatism succeed.That's the cruelest punishment imaginable for them. They cannot stand happy, functional people. A conservative family barbecue is like holy water on a demon. Kids laughing, meat on the grill, dads fixing things voluntarily, nobody screaming about colonialism near the potato salad. It terrifies them.Because Conservatives commit the unforgivable sin in modern America: we enjoy reality.Meanwhile Leftists are permanently angry at gravity, biology, merit, math, and sunlight.Speaking of math, let's go to academia. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Recorded live at Google Marketing Live 2026, Phillip sits down with Nick Fox, SVP of Knowledge & Information at Google — the executive overseeing Search, Ads, Commerce, and geographic mapping products. Building on the prior day's I/O announcements, Fox unpacks how Gemini is reshaping Google's consumer and advertising products, why the Universal Cart strikes a balance between human taste and agentic convenience, and how two-plus decades at Google inform his view of building technology that shapes the lives of billions. Enabling People To Be People Key takeaways: Gemini 3.5 is the foundation supercharging Search, Ads, and Commerce across Google. The Universal Cart keeps humans choosing while agents handle the drudgery. UCP adoption has accelerated faster than expected across the industry. Conversational search has shifted user behavior toward natural, multi-word queries. "I think there are people that think everything's gonna be about agents talking to agents. I don't subscribe to that view." — Nick Fox "I am the person putting things in the cart. But then the cart is helping us agentively at the same time." — Nick Fox "We're building products that billions of people across the world are using. That's a responsibility we take seriously." — Nick Fox In-Show Mentions: Google Marketing Live 2026 and Google I/O 2026 Universal Cart & Universal Commerce Protocol (UCP) More from Future Commerce: LIVE @ Google I/O: Universal Cart, Agentic Payments, and the Protocols Powering the Agent-Mediated Economy Google Solidifies Its Place in the AI Race [Member Brief] Agentic Commerce and the eCommerce Site's New Existential Crisis Associated Links: Check out Future Commerce on YouTube Check out Future Commerce Plus for exclusive content and save on merch and print Subscribe to Insiders and The Senses to read more about what we are witnessing in the commerce world Listen to our other episodes of Future Commerce Have any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Five fast AI moves. One stronger Google Business Profile. More of the right patients finding you. This episode shows you how to use AI to keep your Google Business Profile Listing active and credible in a few minutes. You'll hear the key areas where AI helps, the pitfalls to avoid, and the prompts waiting for you in the show notes. Press play and turn views into appointments. (popular episode replay)Episode webpage, resources, copy-and-paste promts, & more: https://propelyourcompany.com/gbp-ai-hacks/Send in your questions. ❤ We'd love to hear from you!NEW Webinar: How to dominate Google Search, Google Maps, AI-driven search results, and get more new patients.>> Save your spot

Send us Fan MailGoogle just revealed the future of Search at Google I/O and Google Marketing Live — and it's far more personal, predictive, and invasive than most people realize.In this episode of Near Memo, Mike Blumenthal and Greg Sterling break down:A massive fake Google Business Profile fraud case involving 15,000 fake listings and $79 million in alleged fraudHow Google already infers your income, politics, preferences, and buying habits — even WITHOUT opting into “Personal Intelligence”The rise of AI-native advertising formatsWhy AI Mode may fundamentally reshape search, local discovery, Google Maps, and online commerceHow Google's ecosystem strategy could create unprecedented user lock-inThey also discuss:AI-powered personalizationGoogle's “good enough” AI strategyAI agents and transactional searchWhy antitrust rulings may have changed nothingThe future of ads inside AI search experiencesSubscribe to our newsletters and other content at https://www.nearmedia.co/subscribe/

In this episode, we break down a masterclass in commercial real estate investing. Jennings walks through a real case study where a colleague transformed a vacant 80,000 sq ft industrial warehouse from a distressed asset worth $1.2 million into a high-performing property valued at $3-4 million—all by securing a tenant before closing the deal. The core strategy? Identify vacant commercial properties bleeding money, use Google Maps to find companies with matching space needs in the area, then cold-call their accounting departments to reach decision-makers who know their lease timelines and facility constraints. By solving both the seller's problem (vacant building) and the tenant's problem (need for space), you create a repeatable playbook that works across any commercial asset class. You'll learn how to mitigate risk through binding leases, leverage third-party capital to do deals without all your own cash upfront, and structure deals that banks actually want to finance. This is value-add investing at its finest. As always, thanks for listening!

The voter system is full of holes, tech giants are magically changing digital reality before an election, and the proxy threats overseas are reaching a breaking point. Today on The Adult in the Room, Victoria Taft cuts through the noise to deliver the raw truth the mainstream media wants to sweep under the rug. First, we unpack the massive voter fraud bust on Skid Row caught on camera by James O'Keefe, leading to a federal felony plea announced by Assistant Attorney General Harmeet Dhillon. Then, FDD expert Max Meislish drops by to decode what is REALLY happening behind the scenes of the US-Iran ceasefire and how China is secretly keeping the regime alive. Finally, we look into a bizarre Google Maps "glitch" altering burnt-down neighborhoods just in time for the LA mayoral primary. Support the show! Like, subscribe, and hit the notification bell to stay updated with the free speech forum.Connect with Victoria Taft on PJ Media and follow the podcast on YouTube, Rumble, and Spotify!

Nick the Rat Radio Episode 540 Nick the Rat is sick, pantsless, and on a mission. Episode 540 kicks off with a rant about Google Maps burying street names under business ads, a meditation on robot Frank and his box-flipping career, and some hard questions for John Stewart about who actually gets paid. Then things get deep — literally. Nick dives into the surge of mass whale strandings since 2023, the string of mysterious Baltic Sea cable cuts, NATO's Operation Baltic Sentry, and DARPA's real-life living sensor program that uses ocean animals as military surveillance tools. The dots start connecting in ways that will keep you up at night. Also on tonight's program: the 60-meter unidentified object sitting on the Baltic seafloor that kills electronics and breathes water, a Canadian-Norwegian oil company that found Poland's biggest oil deposit ever on their very first drill, a CIA whistleblower testifying about the COVID lab leak cover-up, and Jane Hanoi returns with a special report that is absolutely not safe for the lactose intolerant. Featuring music from Zillion Instruments, Nav Day, Free Beat Vault, Froggy 5, 44 with Dudley Boys, and more. Value for value — if you got something out of it, send something back. A paranoid rat discusses conspiracies, secret agendas, and things they don't want you to know — while playing hand-picked underground music. Call in live: 1-917-719-5923 Originally aired: 05/20/20 All music is Attribution 3.0 Unported (CC BY 3.0). All artists are credited during the episode. For more info: www.nicktherat.com

Welcome back, folks. I leave for a little while and the whole country turns into a yard sale run by raccoons with government grants. I step away to “recharge,” and suddenly America's got flaming cities, illiterate graduates, Google Maps running witness protection for burned neighborhoods, and Democrats trying to hide their catastrophes. But don't worry. During my absence, with the help of a few friends, I solved the world's problems. Completely solved them. Wrapped it up like leftovers at Thanksgiving. Turns out the answer was sitting right there the whole time.Dump Leftists.That's it. That's the cure. Not a committee. Not a blue-ribbon panel. Not another trillion-dollar infrastructure bill where somehow only the “consultants” get infrastructure. Just dump Leftists.Because here's the thing nobody wants to admit out loud: Leftism never voluntarily dies. It survives like glitter in carpet. You think it's gone, then six years later you find a pronoun in your vacuum cleaner.And I'm not talking about liberals from thirty years ago. Those people argued taxes and foreign policy. Today's Leftism is a traveling circus run by emotionally unstable former hall monitors. These people looked at every functioning institution in America and said, “What if we made it weaker, uglier, and sexually confusing?”And they did it.Now, there are two ways to defeat Leftism.The easy way is economic starvation. Stop feeding it. Stop funding the universities that hate your guts. Stop buying products from companies that think your daughter needs three therapists and a gender consultant before algebra class. Stop subsidizing people who openly despise the nation that made their nonsense possible.No revenue. Let it collapse under the weight of its own vegan poetry slam.The hard way? Make Leftists watch Conservatism succeed.That's the cruelest punishment imaginable for them. They cannot stand happy, functional people. A conservative family barbecue is like holy water on a demon. Kids laughing, meat on the grill, dads fixing things voluntarily, nobody screaming about colonialism near the potato salad. It terrifies them.Because Conservatives commit the unforgivable sin in modern America: we enjoy reality.Meanwhile Leftists are permanently angry at gravity, biology, merit, math, and sunlight.Speaking of math, let's go to academia. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Governors Ball Music Festival in New York City is a phenomenal three-day music, food, and art experience. While it's smaller-scale than some major festivals, it boasts an amazing location, Flushing Meadows Corona Park, simple transportation options, and a strong lineup every single year.In this no-nonsense guide, we'll cover the vital topics for a successful Gov Ball experience, including:Brief history of the music festivalWhat to bring/wear to Governors BallGetting to & from the festivalExpert tips for safety, experience, and the best viewingSee our full write-up with relevant links and information here.

Is your clinic website actually outdated, or does it just need better SEO, content, and conversion strategy?  Many clinics spend thousands redesigning websites when the real problem was SEO all along. Here's how to tell what your clinic actually needs. Episode webpage, blog & show notes: https://propelyourcompany.com/redesign-your-website-or-seo/Book a FREE discovery call: https://calendly.com/propelyourcompany/discovery-callSend in your questions. ❤ We'd love to hear from you!NEW Webinar: How to dominate Google Search, Google Maps, AI-driven search results, and get more new patients.>> Save your spot

Les applications de navigation évoluent, et la dimension communautaire devient un passage presque obligé. Avec sa dernière mise à jour, Roole Map, développée par Identicar, franchit justement ce cap en intégrant un système de signalement participatif.Le principe est simple, et déjà bien connu des utilisateurs de Waze : chaque conducteur peut signaler en temps réel un événement directement depuis son smartphone. L'information est ensuite partagée instantanément avec les autres usagers en navigation. Cinq types d'alertes sont proposés : accidents, contrôles routiers, travaux, obstacles sur la chaussée et embouteillages. Ce fonctionnement repose sur une logique collaborative. Autrement dit, ce sont les utilisateurs eux-mêmes qui alimentent la carte en données. Chaque automobiliste devient ainsi une sorte de capteur mobile, capable d'enrichir l'information routière au fil de ses trajets.Jusqu'ici, cette fonctionnalité manquait à Roole Map, malgré des demandes répétées sur les plateformes de téléchargement. L'application proposait déjà plusieurs outils pratiques : des itinéraires adaptés au type de véhicule, thermique, hybride ou électrique, l'affichage des prix du carburant, le calcul des péages ou encore la localisation des bornes de recharge. Mais sans contribution des utilisateurs, elle restait en retrait face à ses concurrents. Côté déploiement, la nouveauté est déjà disponible sur iOS. Sur Android, elle est encore en phase de test, accessible en version bêta. Ce lancement progressif s'explique notamment par la diversité des appareils Android, qui complique la gestion des mises à jour et la synchronisation des données en temps réel.Aujourd'hui, Roole Map revendique environ 220 000 téléchargements et près de 50 000 utilisateurs actifs chaque mois. Un chiffre encore modeste comparé aux géants du secteur. Et c'est là que se joue l'enjeu principal. Car pour qu'un système participatif soit réellement efficace, il doit s'appuyer sur une masse critique d'utilisateurs. Sans cela, les signalements restent trop rares pour être fiables. Roole Map mise donc sur une approche différente : une application sans publicité, centrée sur les trajets du quotidien en France, plutôt qu'un outil universel. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Local marketing strategies go way beyond just hoping social media algorithms find your neighbours-- Take control by understanding local business social media marketing, and using marketing strategies only available to location-specific businesses.Having a location-based business isn't a disadvantage when it comes to marketing. It's an asset. You have access to every online marketing strategy and a whole category of on-the-ground tactics that purely digital businesses simply can't use. The key is combining both.In this episode:- Real-world examples of offline tactics that work: bulletin boards, door hangers, community Facebook groups, Google Maps, local events, and good old-fashioned business cards at the dog park- How to find the right local businesses to collaborate with- Jenna Harding's concept of "global reach for local sales- Why the instagram algorithm isn't as random as you think- How local business social media marketing on Instagram can be optimized to reach people near youWant to stop posting randomly and start getting actual clients from Instagram? Join www.MagicMarketingMachine.com — the program with 1,450+ alumni who've learned the proven content strategy that's worked for service-based businesses, local or otherwise.

Spencer Pratt and Heidi Montag were spotted eating breakfast in Carpinteria without security despite Spencer claiming death threats forced him into the Hotel Bel-Air for safety during his mayoral campaign. Spencer Pratt spoofed “The Fresh Prince of Bel-Air” in a new mayoral ad mocking his Hotel Bel-Air controversy while attacking Mayor Karen Bass over wildfire fallout. Google Maps blamed a technical glitch after pre-fire Pacific Palisades satellite imagery briefly reappeared online following complaints amplified by Spencer Pratt. Looksmaxxer Clavicular got upstaged in court when the internet became obsessed with Judge Marcus' appearance and declared the judge “mogged” him. Spotify says its widely criticized disco-ball anniversary app icon will be removed next week after users relentlessly mocked the temporary redesign. Hosts: Branson Quirke, Antonio Smith Learn more about your ad choices. Visit podcastchoices.com/adchoices

Want every completed roofing job to bring you more leads? https://info.roofingwebmasters.com/In this video, Nolan Walker from Roofing Webmasters breaks down why most roofing companies are leaving future jobs behind every time they finish a project.Here's the truth: a completed roofing job should not just be one transaction.This episode explains how roofers can turn one finished job into more visibility, more trust, and more roofing leads.If your roofing company wants more calls, better rankings, and a stronger online presence, this video shows you how to stop wasting completed jobs and start building a real roofing lead generation system.???? Want help getting more roofing leads????? Call us to start growing your roofing business todayhttps://www.roofingwebmasters.com/Book a FREE Consultation with Nolan Today! ???? (800) 353-5758???? Subscribe for more roofing marketing content: @roofingwebmasters  New episodes every week covering:Roofing SEO, Google Maps ranking, AI search for roofers, roofing lead generation, storm damage leads, roof replacement leads, roofing websites, reviews, Google Business Profile optimization, and digital marketing for roofing companies.

Sam Hollis helps photographers build businesses that actually serve their lives, not the other way around. As co-host of the Commercial Photographer podcast, he shares weekly insights on marketing, growth, pricing, and creativity, helping photographers think more strategically about how they run and scale their businesses.Through his work at Website 4 Photographers, Sam specialises in helping photographers take control of their online presence. He is particularly known for his expertise in local SEO and Google Maps, showing photographers how to dominate their local area, increase visibility, and generate consistent, high-quality enquiries without relying solely on social media.Sam is a strong advocate for building efficient, systemised businesses that support long-term sustainability. He believes that with the right foundations—clear messaging, a well-structured website, and smart marketing channels—photographers can create predictable lead flow and more freedom in their work.Living what he teaches, Sam operates a highly mobile “freedom model” lifestyle. While his daughters live and study in the Netherlands, he and his wife split their time between the UK and the sun of Mozambique. His approach to business is grounded in flexibility, intentional design, and creating a life that aligns with what matters most.

En este episodio nos ponemos tecnológicos… otra vez

It's EV News Briefly for Thursday 14 May 2026, everything you need to know in less than 5 minutes if you haven't got time for the full show.Patreon supporters fund this show, get the episodes ad free, as soon as they're ready and are part of the EV News Daily Community. You can be like them by clicking here: https://www.patreon.com/EVNewsDailyGLOBAL EV SALES HIT 1.6 MILLION IN APRILGlobal EV sales reached 1.6 million units in April 2026 and 5.6 million year to date, with April up 6% year over year but down 9% from an unusually strong March. Europe led growth with 400,000 sales, up 27% year over year, driven by rising petrol prices and strong gains in Germany, France and Italy, while Chinese-built EVs grew their European market share from 19% in 2025 to 22% in 2026.ELECTRIC GOLF SLIPS TO DECADE'S ENDVolkswagen has pushed the electric Golf back to the end of the decade, later than the previously expected 2028 launch, due to delays with the SSP platform that will underpin it. SSP-based vehicles will now begin with Audi and Porsche from 2028, with Volkswagen following later, as the brand needs greater scale to achieve margin parity on the platform.HOUSE BILL SEEKS PERMANENT BAN ON CHINESE CARSA bipartisan group of Michigan lawmakers has introduced the Connected Vehicle Security Act, which would permanently ban Chinese-developed connected vehicles from US roads. The bill would codify and expand a Biden-era executive order, barring passenger vehicles from China, Russia, North Korea and Iran if they contain software or connectivity systems developed in those countries.JAGUAR NAMES FIRST EV TYPE 01Jaguar has confirmed its first all-electric production car will be called the Type 01, with the "0" representing zero tailpipe emissions and the "1" marking it as the first model of a new era. The full production reveal is planned for September 2026, with customer deliveries expected to begin in early 2027.FORD STARTS STATIONARY BATTERY BUSINESSFord has launched Ford Energy, a wholly owned subsidiary, to compete in the stationary battery storage market, with its first product being the DC Block — a modular LFP battery container offering 5.45 MWh of storage and a 20-year service life. Built at a repurposed factory in Glendale, Kentucky, the DC Block will be sold in two- and four-hour discharge versions, with first customer deliveries due in early 2027 and planned annual output of 20 GWh.APTERA BUILDS FIVE VALIDATION VEHICLESAptera Motors has completed five validation vehicles on a newly established 14-station low-volume assembly line at its Carlsbad, California facility, marking a significant step towards production readiness. The vehicles will now enter a comprehensive testing programme covering road performance, durability, safety, software integration and solar energy generation efficiency.FILOSA: CHINESE OEMS FACE US DELAYStellantis CEO Antonio Filosa said Chinese OEMs will not enter the US market for at least a few years, citing the current tariff and regulatory climate. He left the door open to future partnerships, suggesting Chinese technology could still find common ground with US operations, even if direct car sales remain off the table in the near term.ANDROID AUTO STRETCHES TO FIT ANY SCREENGoogle is giving Android Auto its first major display overhaul in 11 years, with a new version that adapts to fill any car screen shape and eliminates the black borders previously seen on round, trapezoidal and other non-standard displays. The update also introduces pinnable widgets that stay over the active map, alongside a redesigned Google Maps with 3D Immersive Navigation showing buildings, lane markings, traffic lights and stop signs.CATL ADDS 5 GWH MODULE LINE IN DEBRECENCATL has opened a new 5 GWh battery module assembly line at its gigafactory in Debrecen, Hungary, fed by cells from other CATL plants while the on-site cell factory awaits final regulatory permits. The added capacity could cover approximately 50,000 EVs with 100 kWh packs or 125,000 EVs with 40 kWh packs per year.JEEP AVENGER ELECTRIC JOINS UK GRANT SCHEMEThe fully electric Jeep Avenger now qualifies for the UK government's Electric Car Grant, reducing prices by £1,500 across the range and bringing the entry-level Longitude to £28,499. The car offers a WLTP range of 248 miles, 100 kW DC fast charging capable of 20–80% in under 30 minutes, and an 11 kW onboard AC charger.TESLA ADDS REMOTE METER FOR HOME CHARGINGTesla has launched a Remote Meter accessory in Canada and the US, priced at CA$285 and US$210 respectively, for homes whose electrical panels lack capacity for a full-power Wall Connector installation. The device enables Dynamic Power Management by continuously monitoring panel capacity and automatically adjusting charging output in real time to prevent overloading.PREMIER TAKES JCB ELECTRIC FLEET PAST 100Leicestershire-based Premier Plant & Tool Hire has grown its JCB electric machine fleet to more than 100 units, positioning itself as a leader in zero-emission construction equipment rental in the UK. The expansion is driven by rising demand from urban job sites where tightening regulations make diesel-powered equipment increasingly difficult or impossible to use.

Your website might not need more pages; it may need a cleanup. This “remove list” walks clinic owners through what to delete, replace, or rewrite on their website to improve SEO, trust, and conversions, including outdated content, generic messaging, weak calls to action, and slow elements that hurt mobile performance. Episode webpage, checklist, & shownotes: https://propelyourcompany.com/what-to-delete-or-rewrite-on-clinic-websites-now/Send in your questions. ❤ We'd love to hear from you!NEW Webinar: How to dominate Google Search, Google Maps, AI-driven search results, and get more new patients.>> Save your spot

Sarah and Kelli discuss Bravo's big announcement that Bravo Fan Fest will be in Charleston, SC this year! Topics include: the deets, ticket cost, VIP, WWHL tapings, press passes?, the fine print, bag policy, where to stay, how to get around, Bravo locations, Charleston October weather, concerns about hurricane season, other events, a creator gathering?, Miami Fan Fest, other shows/movies that filmed here, a walking tour of downtown, Leva's restaurants, Patricia's house and our ideas for a Bravo-themed walking tour. Are you coming to Bravo Fan Fest? A new episode of Above Deck is out now! Follow us on Instagram: @abovedeckpod   Get in touch: abovedeckpod@gmail.com  Get ya some Above Deck MERCH! https://hurrdatmedia.hurrdatbrandgoods.com/page/above-deck Bonus episodes on Patreon: patreon.com/cw/AboveDeckPodcast Shout out to Laura and JD, our Patreon Primary VIPs! Please subscribe on Apple Podcasts, Spotify or wherever you get your podcasts, and tell a friend! Resources: charlestonmuseum.org/isaac-jenkins-mikell-house/ Sarah's Google Map of Charleston Text BFF2026 to 917-809-2240 to be the first to get the latest Bravo Fan Fest news and sign up for Bravo Insider to get info about select fan opportunities.  This is another Hurrdat Media Production. Hurrdat Media is a podcast network and digital media production company based in Omaha, NE. Find more podcasts on the Hurrdat Entertainment Network by going to HurrdatEntertainment.com. Learn more about your ad choices. Visit megaphone.fm/adchoices

May 13, 2026Today's Reading: Numbers 10:11-36Daily Lectionary: Numbers 10:11-36; Luke 16:19-31 “And whenever the ark set out, Moses said, ‘Arise, O Lord, and let your enemies be scattered, and let those who hate you flee before you.' And when it rested, he said, ‘Return, O Lord, to the ten thousand thousands of Israel.'” (Numbers 10:35-36)In the Name + of Jesus. Amen.In the Scriptures, God is locatable. Not the way you type a location into Google Maps. And it's not like you can slap an Apple AirTag on him or open the “find my phone” app to see where he's roaming. Nevertheless, in the Scriptures, God is findable. God locates himself. God dwells with his people. In the pillar of fire and smoke. In the tabernacle. Upon the ark. There, he's enthroned between the cherubim. There he's present with and for his people.In the Old Testament, the people of Israel spent a lot of time searching for God's presence and peace in all the wrong places—back in Egypt in slavery, in the golden calf in the wilderness, in the idols of Baal and the Asherah, or any other number of pseudo, self-made deities they foolishly put their trust in. The truth is, God is not hard to find. All you have to do is look where he promises to be, and where he promises to dwell, and where he declares that he is present with and for his people. In the Old Testament, God wasn't hard to find. He was in his house, the tabernacle, and later the temple. He was in his word and promise. He was in the sacrifices and the blood and the smoke and the fire for his people.In the New Testament, once again, God is locatable. He is born of the Virgin Mary. He is findable for he took on human flesh. God dwells with his people as one of his people, first in Mary's womb, then on the cross and in the tomb, and out alive again three days later. Sadly, like Israel, we spend a lot of time searching for God's presence and peace in all the wrong places: our thoughts, feelings, and actions. Our selfish loves, lusts, and longings for peace and joy apart from Christ. But thankfully, God is still locatable. Findable. He dwells with you and for you. No longer on the ark or in the pillar of smoke and fire. But on the altar. Enthroned between the flaming candles, seated in the bread and wine for you. Jesus dwells with you and for you, setting up a watery tabernacle of his own where he sends the Holy Spirit to dwell with you. Jesus is present with all of his promises for you in holy words, holy Baptism, and holy Communion.In the Name + of Jesus. Amen.Sing praise to the God of Israel! Sing praise for His visitation! Redeeming his people from their sin, Accomplishing their salvation, Upraising a mighty horn within The house of his servant David. (LSB 936:1)Rev. Samuel Schuldheisz, pastor of Beautiful Savior Lutheran Church in Milton, WA.

AI search, Google AI Overviews, and changing patient behavior are reshaping how clinics approach blogging and SEO. So… do blogs still help clinics get patients?In this episode of The Clinic Marketing Podcast, Darcy Sullivan breaks down what actually works for clinic blogging right now, what strategies are becoming less effective, and how clinics can create content that supports SEO, builds trust, and helps convert website visitors into patients.You'll learn: Why blogging for clinics has changed  What type of blog content still works  How AI search is impacting SEO and content  Common clinic blogging mistakes  Why quality matters more than quantity  How to create patient-focused content that builds trust  Ways to repurpose blog content into other marketing assets Whether you run a chiropractic clinic, physical therapy practice, acupuncture clinic, med spa, or another healthcare business, this episode will help you rethink your content strategy for today's search landscape.Episode guide, resources, and blog: https://propelyourcompany.com/blogging-for-patients/Related Resources: How Blogging Can Boost SEO & Bring in More PatientsBlog Strategy: How to Create Irresistible Content for Your Clinic's BlogShould It Be a Blog Post or a Page on Your Website?Blog Smarter: 12 Tips to Boost Your Content Marketing GameSend in your questions. ❤ We'd love to hear from you!NEW Webinar: How to dominate Google Search, Google Maps, AI-driven search results, and get more new patients.>> Save your spot

https://youtu.be/aQyHwoGfy50 Max Kryzhanovskiy, President and CEO of MOS Creative, is driven by a desire to set an example for his children and show what's possible through technology, persistence, and innovation. As the leader of a tech-forward agency that builds websites, apps, and AI-enabled platforms, Max helps businesses move from idea to execution by creating digital products that solve real problems and scale over time. We explore Max's MVP Framework — Define the problem, Determine target market, Prototype the product, Build the MVP, Test and obtain feedback, Iterate — a practical approach for transforming ideas into scalable digital products. Max explains why founders should avoid overbuilding too early, how AI is accelerating prototyping and development, and why businesses must balance automation with authentic human connection. — Drive Growth Using AI Agents with Max Kryzhanovskiy  Good day, dear listeners. Steve Preda here with the Management Blueprint Podcast, and my guest today is Max Kryzhanovskiy, the President and CEO of MOS Creative, a company that builds websites and apps that drive growth. They were also the first company in Baltimore to launch a mobile site. Welcome to the show, Max.  Thank you for having me.  Let me ask you this—what is a mobile site? Is it a mobile phone site, or is it something different?  I mean, now it probably doesn't matter as much anymore, because everybody obviously has a website that works on a smartphone screen—or a responsive websites. But before mobile websites came out—or I should say, when smartphones first came out—we had to adjust for smaller screens. We were all used to bigger screens on a computer, and then once we started having different screen sizes come out before responsive, we were the first company to have a mobile website in Baltimore. And we actually built a web application specifically to create them ourselves, and then also went to market to offer it to other clients as well. So a mobile website is just like it sounds, a website that’s specifically designed for mobile.  That’s cool. So it sounds like you are very much a tech-forward company, and you are at the edge of technology. And as we were logging on, you said that you would be recording this on your phone because you actually have AI agents running on your computer. Does that mean you have AI agents as part of your team? What kind of agents do you have? Is it still an experiment, or is it already in execution mode?  It's in execution mode, but we're always experimenting. We like to think we're ahead of the curve, but with AI, we're all experimenting to a certain extent, right? Something new comes out, we try it out, see if it works, and see how it can be applied to your business—what kind of outcomes it can give you. So I'm all about AI. It's amazing. It's an amazing tool. But I think AI is becoming a lot more than we thought it was going to be—and also a lot less at the same time. Meaning, when AI launched—for example, when ChatGPT came out to the broader market—I mean, obviously AI had been around for a while—but when ChatGPT launched its chatbot platform publicly, we were amazed by how much work it could done. So it went from zero to a hundred. “Oh my God, it can do all of this,” right? But now, for example, with the more recent models—4.5, 5.0—the improvements are much smaller.  It's not a hundred percent or a thousand percent better anymore. Now it's maybe five or ten percent better, but the cost keeps increasing. I just read somewhere that even Claude said Claude Code won't be included much longer as part of the regular plan. So now it's only in the $200 higher-tier plan, plus you have to buy additional tokens. So it's really becoming more like, “Hey, yeah, we can do this for you—but you're going to end up paying something similar to what you'd pay a team.” At first, it was more like, “Let's get into the market. Let's get a lot of people interested.” But now, obviously, they have a lot of money behind them—investors, VCs, public market pressure—and they need to bring in revenue. So I think things are going to change very soon. AI is going to become a lot more expensive because the infrastructure and resources it requires are expensive. So eventually, those costs are going to be passed on to users. Yeah. And I noticed that ChatGPT started to do some ads as well. They’re probably going to go that direction, and who knows what that’s going to bring. But that's not our topic today. Today, it's about something else—frameworks. But before I go to the framework question, I'd like to ask you: what is your personal “why,” and how are you manifesting it at MOS Creative? Well, I'm a family man, so my “why” is to see my kids grow up to be amazing human beings—and hopefully to show them a great example of what can be accomplished in sports and in business. So my “why” is also to be a good person. Success can mean different things to different people, but for me, I love the hunt to get to a certain level of success. And then it's kind of like—us as humans, or at least a lot of people—we reach a certain level of success and we don't really celebrate it. It's more like, “Okay, let's get to the next level.” So my “why” is to show my kids that anything is possible if they really want it. Why I got into this space—it was exciting. You could see how quickly technology was moving, the kind of innovation that was possible, and it excited me. So that was one of the main reasons I got into technology. But the other reason was because I was in a different business, and we created technology that helped us grow. And I thought, “Oh wow, this is a completely different way to scale a business.” So technology became the direction we took. Yeah, I love it. I think inspiring our kids is a huge driver for many people, and it totally makes sense. Technology is exciting. I'd like to switch gears here and ask my other common question on this podcast, because this podcast is all about frameworks—business frameworks—how we can help listeners understand things, simplify things, and see different perspectives. So my question to you is: what is your favorite shortcut to success—or framework? And I don't mean “shortcut” in a negative sense, but rather a framework that allows you to understand things differently, make decisions, serve clients, and create valuable outcomes. Whatever it is—something that has worked for you, and is simple enough that you can explain it to listeners in three to five steps. Well, I believe in always being open to learning. It's not specifically a framework—it's more of a mindset: understanding that we don't know everything, especially now, with how quickly things are changing. I mean, a lot of people say that AI is going to make humanity a little dumber than we are. But actually, I learn a lot from it as well. If I'm doing something and I think, “Oh, this is a great way to speed up the process,” then I use it. So let's say, for example, a client asks me a question. There are different ways to approach it. If I already know the answer because I have specific experience with it, I can answer it, right? That doesn't always mean the answer is going to be correct.  I can research it, or I can get an answer from AI and then verify it through research and experience to make sure the outcome is actually what it says it's going to be. The learning part is making sure you're always open to figuring out whether the steps you've taken before are the right steps—or whether they can be optimized. I'm a big believer that everything can be optimized, especially now. There's almost no question that can't be answered quickly. Maybe there are some deep philosophical questions—but for the most part, especially in business, work, or even life, you can get answers very quickly. For example, I had a kind of vertigo-type feeling, and I was wondering what exactly it was. I entered specific prompts into ChatGPT, and it actually broke things down really well for me. Then I went to a doctor. First, I checked with a friend of mine who's a nurse, and she said, “This is probably what you have.” And she started asking me questions. I thought, “This is funny—these are exactly the same questions ChatGPT asked me.” And her husband said, “You know what? That proves that medicine is basically a set of questions. As you answer one question, it leads to the next.” So it's like a dynamic questionnaire. And by the time I got to the doctor, I already had a good idea of what it potentially was, and I knew what questions to ask so I could understand the next steps to fix it.  Yeah.  So what I'm saying is there’s always a way to improve. I'm a big believer in that. It doesn't matter what you're doing, because in this age, everything moves very fast—regardless of the business you're in. That's true. It's interesting that you say ChatGPT can answer any question. It's true—sometimes it hallucinates, but it still gives you an answer. Yesterday, I went to a presentation, and the president of Great Game of Business talked about this. He said, “Today, the answer is everywhere. So it's not a lack of answers—it's a lack of good questions.” So what we really have to come up with are good questions to ask. That's the bigger challenge now—not finding the answer. And I thought that was a really interesting insight. I agree. It's the same thing, right? It relates to prompts as well. If you have a good prompt, you're going to get a better answer. If you ask a good question, you're going to get a better answer. So yeah, I agree with you. Listen, AI isn't a complete solution, but it's a huge help—especially if you're just starting out. Yeah. So what drives your business? Is it technology? Is it trends? Is it something else? What drives it?  It's kind of a mix between technology and growth marketing. What that means is we work with clients all the way from ideation to scaling. We've also had several clients successfully exit. So clients come to us and say, “I have an idea. How do I take it to the next step?” Obviously now, there are AI builders and AI platforms that can help take a high-level idea and turn it into some kind of prototype—or at least a basic flow. But ideally, we work with clients from the idea stage all the way through design, development, launch, and driving traffic to the product. So the perfect client fits into that category. They might have an idea for a web application, mobile application, or software product.  They come to us and they're not really sure what the next steps are—or they've done some research For example, I spoke to a prospective client the other day. She worked with a developer who tried to build the product using an AI builder. For some reason, something didn't work out, and now she's back at square one. So now we have to review what she actually wants to build, determine the best approach, and figure out what phase one, phase two, and phase three should look like. So that's kind of how we work. For our clients, it's not just, “Let us develop it for you.” It's also about the creative side, the messaging, and the user experience. It's about making sure that when someone downloads the app—or visits the website or web application—it serves its purpose. It's a problem-solving product. It needs to solve a problem so users keep coming back again and again. And then we help grow it to new audiences. That's when it starts to scale and become exponential. Does that make sense? Yeah. So I’m wondering, you work from the idea forward, or you work from the outcome backwards? What’s the approach?  That's a great question. Not everyone knows the outcome right away. When someone has both an idea and a clear outcome, it works better, right? Because then you can help them get to that outcome. But overall, the outcomes are usually very high-level. You know: “I want to build this web application or software because I'm targeting this audience.” Okay—but what does that really mean? What problem are you solving? To be honest with you, ninety percent of people don't really know what problems they should be solving at the initial stage. So, talking about frameworks, we work with them to define which problems they should solve first. Because most startups—or even profitable companies trying to add new technology into their workflow or business—often don't know what one or two problems they should solve for the MVP before going all in. Yeah. Okay, so step one is to define the problem. What's step two?  Make sure you have the right audience for that problem. That's a big issue. A lot of times, people try to serve everyone. You don't want to go too broad, and you don't want to go too narrow. If you go too narrow, you're going to hit a ceiling before you even go to market.  So you determine the audience for the problem you're trying to solve, right?  Correct.  And then what's the next step?  Once you determine the audience and define the problem, the next best step is to create some kind of prototype and actually take it to that audience to test for product-market fit. Meaning: get feedback. Again, it doesn't have to be a fully working product. But go to that audience and get feedback like: “Yes, this solves my problem,” and “Yes, I would pay for it.” Or even better—for them to actually exchange some money to join a waitlist or gain access to an early version of the product, so they can test it and provide feedback. That's the best-case scenario. Because once you have that input, it becomes much easier to make adjustments. It doesn't matter whether those adjustments are in the design or in the actual working product—you're refining it for that niche audience. Yeah, that makes sense. So you design the prototype or minimum viable product, then you test it and get feedback. Then what do you do?  Well, I want to clarify something. Designing a prototype and having a minimum viable product can be two separate things.  Okay.  You can design a prototype. Again, it can be designed in Figma, using an AI builder, or even just as a workflow or user flow. Obviously now, things are a little different because you can build prototypes much faster. That doesn't mean they're going to be production-ready. But a minimum viable product is usually focused on solving one or two specific problems for that market. It's a problem-solving product that actually works—meaning it's much closer to being production-ready. Yeah.  So those are two separate things. There's a very big difference between them.  Yeah, because now you have vibe coding, and with tools like Lovable—or whatever platform you're using—you can create a prototype quickly. But it's not necessarily going to work, and then you still have to build the actual working product. Correct. Yes, I agree. Then you test it, expose it to the target market, and gather feedback. And then what do you do? Do you iterate? What's the next step? You iterate, yeah. So at that point, ideally, you have product-market fit, you've received great feedback from users, and—best-case scenario—they've even paid you some money. Then you either expand on what has already been built, or you go all in: invest more money into it and start building a production-ready product. And once you have that, you may realize that you also need to improve the user interface. That happens a lot—especially if you vibe-coded it. The output usually isn't the best when it comes to user interface design or user experience. So you may need to redesign the interface, properly develop it, and then take a production-ready application to market. And then it goes back into the cycle of iteration. Meaning, you keep gathering feedback. This is why I often recommend not adding too many features in the beginning. Focus on one or two core features—one or two main user flows within those features. That's it. Forget about everything else. Yeah. And then you can add features later.  You can always add features later. Most of the time, if you add too many features in the beginning, you'll probably end up cutting at least 40% of them because people just won't use them. And I'm not talking about core features like sign-up, sign-in, forgot password, onboarding, authentication—that kind of stuff. Obviously, you need those. But you still have to figure out who your audience is. Do you need SMS login? Do you need email login? Do you need both? Do you need social logins? You have to make sure you clearly understand your audience—but you don't need everything all at once. You may eventually need all of it, but not in the beginning. Yeah, that's true. So you've worked with other businesses, which means you're primarily a business-to-business agency, right?  Business-to-business, business-to-government—we've also built business-to-consumer apps as well. But usually, our client is a business-to-business.  Yeah. So here's my question: In B2B, how do you gain people's trust so they'll even engage with your product? I understand there's a funnel—but how do you get businesses into the top of that funnel? How do you create that initial trust so they engage? What does it take? Many things. Content helps, obviously. Creating content like this, creating videos—I create videos on a regular basis talking about what's out there, what's possible, what's good, what's bad. Kind of the everyday life of an agency, and the type of work we do. We also post projects on different directories and platforms. A lot of previous clients come back to us, and we get many client referrals. We rank pretty well for SEO and AEO, so a lot of people find us through ChatGPT. Especially because that's one of the services we offer. People find us when searching for things like “best app developers” or “best website designers” in our specific area. We're not targeting nationwide rankings—that's much harder and a much longer-term strategy. But in our area—Maryland, Howard County, Columbia—we rank very high.  And what does it take to rank high in AEO—in AI search?  It's the same approach we take to rank in Google. Google obviously owns Gemini, and now there's Google AI Overview. It's really a real-estate play. If you have a website that's properly structured for Google—with some adjustments for semantic search, like adding question-and-answer content to every page, especially product and service pages—you improve your chances significantly. You also need a properly configured robots.txt file with clear descriptions, so when search crawlers reach your site, they can immediately understand the structure and know where to go. When you see sources cited in AI search, that's exactly what those systems are reading from your site.  You also need the right technical setup: Your website has to be fast. You need proper H1, H2, and H3 structure across the site. So overall, it's about having a properly structured website. If you follow strong SEO fundamentals, with additional improvements specifically for AEO and GEO—because now it's not just SEO anymore, it's SEO, AEO, and GEO—you'll usually appear in ChatGPT, Google AI Overview, Gemini, Perplexity, and other AI search tools. And your Google Business Profile and Google Maps listing are properly optimized—which has changed a lot recently on Google's side as well—you'll also show up more often in local AI search results. So isn't it true that AI search looks for different kinds of signals than traditional SEO? I've heard, for example, that backlinks are less important in AI search than they used to be. They're not as important for AI search, but backlinks still carry a lot of weight. Again, you have to think about this as two separate systems, right? There's Google Search—with Google AI Overview and featured snippets—and then there's Google Maps. You don't need a website just to appear on Google Maps. You mainly need a properly optimized Google Business Profile. And you can still show up in AI search that way. Having a website does help, because it sends another signal to Google, but it's not as critical. The most important thing—and I'll answer your question for both cases—is consistency and structure. For Google Maps, if you have a properly maintained Google Business Profile with constant updates—blog posts, videos, photos, and business updates—that teaches Google AI what your business does. So you want updated product pages, images, descriptions, and location details if you're location-based.  All of that educates Google, which helps you rank higher on Google Maps. And like I said, Google Maps ranks very well in AI search. Now, if you also have a website, that's even better. And on your website, it helps to embed your Google Map as well, because that reinforces another signal from Google Maps. For example, some of our clients have multiple locations, so we include Google Maps with all their locations on the site—and that helps. Then you also create location pages, just like you create product pages or service pages. Google—and AI systems in general—don't really rank entire websites. They rank individual pages. That's why top-of-funnel content is usually blog posts or educational content answering someone's problem. Then that written or video content leads users to a service page or product page. That's basically how it works. Does that make sense? Yeah, that's very interesting. So if I want to increase my AI ranking… one of my clients told me that if your clients post about you on Reddit, that can be really powerful and help drive AI search visibility. Is that true? Reddit and Quora are very powerful. Very powerful. They rank very high. Listen, I'll give you a simple example that anybody can use. If you go to Quora or Reddit and look at the questions people are asking—for example, let's say you search for “app development”—you can filter by questions and literally see what people are asking. If you answer those questions in a natural way, related to your service or product, and include a backlink—not in a salesy way, but naturally—that's a very strong backlink. And speaking of backlinks: they're still relevant. Maybe they don't carry as much weight as they used to, but they're still very valuable.  Because when Google or AI systems evaluate content—and when you search in ChatGPT, Claude, or Gemini and see sources—those sources are essentially citations and backlinks. So if your website has strong citations and is properly structured, it absolutely helps you get discovered. You just need to make sure everything is set up correctly so Google—or any other search system—understands what your content means. But yes, to answer your question directly: Reddit and Quora are excellent for visibility because they're high-authority websites with massive traffic and very strong domain ratings. Yeah. That’s great. So Google Maps, Reddit, Quora, they are big drivers. That’s great.  Huge drivers. I mean, listen, there are many others—but social media has become huge over the past two years. Before, if you made a Reel on Instagram, you wouldn't be able to find it through Google search. But in the past couple of years, they opened that up. Why do you think they did that? Because they understand the value of content. Just like YouTube—where you can find videos through specific keywords—they want Instagram videos to be discoverable through Google Search and AI search. And then those searches lead people back to their platform. If someone who isn't already an Instagram user discovers content they like—a creator they like—they may sign up for Instagram because of it. So yeah, all of this ties back to backlinks and discoverability. It's really about how you use those backlinks. I mean, YouTube has been a huge driver for people looking for answers or trying to learn almost anything. So yeah, that's kind of how it works. It's one big spiderweb. Yes. It’s interesting. So basically, the more content I have and the more content other people post about me in credible sites, whether it’s Reddit, Quora, YouTube, social media, and they all point to my website or web pages, then the more it’s going to be discoverable by AI. That’s kinda makes sense.  You're definitely going to become more discoverable. But again, if it's just “Steve Preda,” that alone may not be valuable unless someone is specifically searching for your name. Now, if people are responding to or discussing how to apply a specific framework—and someone is searching for that framework that relates to your content—then it becomes relevant. Does that make sense?  Yeah. Yeah, understand. Yeah. Absolutely. Let me ask you this. If you could have a magic wand and fix one thing inside your company in the next 12 months, what would that be?  That’s an interesting question. I don’t know. I think I'd be very interested in applying more AI agents so they can help drive the business and support more growth. Overall, I just want healthy growth—making sure we're happy with the work we're doing, and that our clients are happy with the work we deliver. Because that leads to better outcomes, longer-term relationships, and healthier growth for the company. I mean, my ultimate goal at some point is probably to grow the company and eventually sell it. If we're happy with what we're doing, and our clients are happy with the work we're delivering, I think that growth will happen organically. Yeah. And what do you need to make the company sellable in your perspective?  Having strong, scalable systems—and AI is going to help with a lot of that.  So do you believe that a company with only AI employees—at the extreme—could still become a very valuable company? No, I'm not saying we should rely only on AI, and I'm definitely not planning to let go of any employees. What I'm saying is that AI can help with certain smaller tasks that sometimes get missed or forgotten. That's a perfect fit for AI. For example, even during conversations—if a project manager is handling several clients at once—we usually need updates on what was discussed. Yes, AI can record the conversation, but more importantly: what are the actionable next steps? And from those action items, what has already been completed, and what still needs to be done? Those are the kinds of things AI agents can help with—tasks that don't necessarily require a human. That way, time isn't wasted and can instead be used more effectively to make sure things are getting done and that we're reaching the outcome you mentioned earlier. What is your opinion about controlling AI agents? What is the level of risk? Not just about someone maybe doing a prompt injection and kind of hijacking your agents, but losing control of the agents in terms of complexity. So do you see a risk there that someone could kind of unleash these agents and somehow not be able to control them, or the quality of their work? Could they not control that? Or something changes and the agents get impacted—maybe a software update or something like that? Is this a thing, or is that not a concern? I think there should definitely always be guardrails. For example, right now we're building a platform with AI to gather RFPs, review them, score them, and actually create outputs—like the structure of the RFP. But before they get submitted, an actual person reviews them. I think there should always be final approval by a human—unless it becomes such a perfect system. I mean, it's software, right? At a certain point, can something go wrong? Yes. Especially with updates—unless you own the full process from beginning to end. Yeah, I think there's always a risk, but there's always a risk with software.  There should definitely be some guardrails, no doubt about it. I don't think it should be the last step before a human approves it and actually—for this RFP example—submits the response to whatever platform. I think a human should always review and approve it to make sure everything is working properly. But I think you can save a lot of time. For example, instead of us doing two or three RFPs a month, we can do ten or fifteen. I mean, the quality isn't really changing. It's structure. It's answering what they're asking for. So if it fits the criteria we're looking for, we still spend time reviewing it. I mean, we got an RFP the other day that was 150 pages. It would probably take two days just to read it. And at a certain point, you're like, “You know what? This isn't a good fit.” So it saves time. It just creates more efficiency. But there should definitely be guardrails and structure for sure, and a human should be involved in the loop. That I agree with you on. Okay. It's a big topic. One of the thoughts is that at some point AI is talking to AI. Like in hiring—you see these big recruiting companies using AI to filter resumes, and then applicants use AI to write resumes that fit what the filters are looking for. And at some point, the authenticity or credibility of those resumes begins to fade because it's all prearranged. So then the whole purpose of filtering employees starts to diminish. Do you think this kind of thing might happen with RFPs too? Maybe. Very possible. I wouldn't be surprised if it's not happening already. Yeah, I mean, it's definitely very possible. There are already several platforms that find RFPs. They work a little differently. We're building specifically for our own purpose. I do want to document the process to kind of show, “Hey, here's what can be done.” But yeah, it's very possible, for sure. Listen, if you're relying on a regular process to get a job, then you're probably not going to get the job. There are a lot more people looking for work right now. I don't know if you heard about Microsoft—and I think Tesla too—but companies are letting people go left and right. Microsoft is offering long-term employees buyouts. And by long-term employees, I mean people who are probably older and maybe not as knowledgeable or experienced with AI.  It's like, “Hey, let us buy you out so you can retire a little earlier.” So this is happening. If you're going through the same regular hiring process as everyone else, you're competing against 500 or 1,000 other people for the same job. Obviously, it's an employer's market right now, not an employee's market. If you're trying to get a job, it shouldn't just be through the regular process. It should be through people you know. Networking is going to have even more value. Personal connections matter, and people knowing, “Hey, this person actually spoke to me the right way.” You should also know how to use AI, because that's going to give you an edge in getting a job. But actually speaking to someone should happen through networking and connections. Yeah, that's my feeling too—that human interaction is actually going to increase dramatically in value. Because authenticity… that's really the only way to verify authenticity: being face-to-face with someone, a real physical person. That's fascinating. Yeah. But I'll tell you—like I said, I post videos on a regular basis. My mom asked me the other day, “Max, are you using AI, or is it really you?” I said, “No, it's really me. It's not AI.” So it's funny because AI is getting so good that you're not always sure what's real anymore. And even with RFPs—it's not just about submitting proposals or resumes. Personal and human connection is going to become more valuable than ever. If I personally knew every buyer putting out an RFP, I'd rather talk to them directly, one hundred percent. Because it becomes a completely different process.  Yeah, that's spot on. Love it. So, great information. I love the framework: define the problem, determine the audience, create a prototype, build the MVP, test it, and then iterate. That's how you build a digital product—whether it's a website or an app. So if you're out there looking for a solution, Max Kryzhanovskiy and MOS Creative may have the solution for you. So if people would like to connect with Max Kryzhanovskiy and MOS Creative, where can they reach you? People can reach us through our website: www.moscreative.com. They can also find me on LinkedIn under Max Kryzhanovskiy or MOS Creative. They can fill out a form on our website or email us at info@moscreative.com. Fantastic. So if you want an AI-driven platform, definitely reach out to Max. So Max, thank you for coming and sharing your ideas. And I love that you have such a strong vision for AI and that you're actively experimenting within your company, which means your clients will benefit from that as well. And if you enjoyed this conversation, then stay tuned, because every week a successful entrepreneur comes on the show and shares their ideas and frameworks. So thanks for coming, Max—and thank you for listening. Thank you. Important Links: Max's LinkedIn Max's website Max's email: info@moscreative.com

Hoy nos vamos a divertir muchísimo, porque tenemos en el programa a Paulina Aguirre, ¡la voz de Google Maps!, que seguro ubican perfecto porque los acompaña todos los días a sus diferentes destinos. 

After five months (maybe more?) between episodes, Gavin and Ken are back – and with WDC 2026 Athens about to happen, what better time to get the tournament organiser, Spyros Dovas, on the show to talk about everything you can expect from rocking up to Greece this year. Intro Gavin and Ken kick off the show with cheers and reintroduce the podcast after a hiatus of over five months (0 mins 10 secs) Gavin explains the gap – his move away from Brisbane has made catching up with Ken less frequent, and a previously recorded episode went out of date before it could be released (1 min 30 secs) Gavin flags he's still searching for employment and shares his brief, unsuccessful foray into applying at Dan Murphy's – though he remains a loyal patron (3 mins) Ken notes that Gavin is heading to a certain upcoming tournament, and Gavin confirms he'll be attending WDC 2026 in Athens – flying via Singapore and living something closer to backpacker than five-star (4 mins 30 secs) Gavin talks about his travel plans, including the Athens itinerary, flying before the Middle East situation affected routes, and his fondness for Singapore's airport (6 mins) Gavin reflects that while he's been to Greece before, it's been about twenty years – and this time he'll be doing things differently (8 mins) Interview with Spyros Dovas – WDC 2026 Organiser Gavin introduces Spyros as the tournament organiser for WDC 2026 (as distinct from Tournament Director Jamal Blakkarly) and hands over to him (9 mins 30 secs) Spyros explains how the venue came to be chosen – rather than a downtown Athens hotel, his wife suggested the beachside suburb of Saronida, about half an hour from central Athens, which he knows well (10 mins 30 secs) Spyros describes the venue logistics: as registrations grew, he booked an auxiliary venue nearby so there's now capacity for even a very large crowd (13 mins) Gavin asks Spyros to make the pitch: why should people come to WDC 2026 in Greece? Spyros covers the competitive angle (previous world champions, strong contingents from the US, Australia, and across Europe), the community experience, the setting, the weather, and the pricing advantages of being just before peak tourist season (14 mins 30 secs) They discuss the FOMO build-up section on the official WDC website (17 mins 30 secs) Spyros outlines the pre-tournament activities organised for Wednesday and Thursday (18 mins 30 secs): Wednesday – a day trip to the island of Hydra, departing from Saronida to Piraeus and taking the fast boat across (approx. 1.5 hrs) Thursday – a guided tour of the Acropolis with what Spyros describes as the best guides operating there, followed by a walk through Plaka and the historic centre, lunch by the sea, and an evening trip to watch the sunset from the ruins of the Temple of Poseidon Gavin enthuses about the Hydra day trip and reflects on the island's significance to Greek identity, noting it's less well-known internationally than Santorini or Mykonos but stunning (23 mins) Gavin shares that he's already visited the Acropolis and Parthenon once before, about twenty years ago with his family, but is genuinely excited to experience it again with expert local guides (25 mins) They discuss accommodation in Saronida – Spyros notes a good range from five-star hotels to Airbnbs at reasonable prices for this time of year, though availability is diminishing and people should book soon. He offers to assist anyone having difficulty (27 mins) Gavin mentions the Athens neighbourhood guide Spyros has put together – a Google Map indicating where to stay, where to avoid, and the character of different areas – inspired by advice Spyros gave his own son who is now studying at Bocconi University in Milan (29 mins) Gavin asks whether anyone stands out as a favourite to win. Spyros diplomatically declines to name names, noting at least a dozen players who wouldn't surprise him as champion – which he says makes the tournament all the more exciting to watch (32 mins 30 secs) They discuss the tournament format: four rounds in total, with a Friday afternoon opening round (around 5pm, to accommodate European day-of-travel arrivals), two rounds on Saturday, and Sunday morning featuring a top board alongside competitive play for all remaining players (35 mins) Gavin asks about the name of Spyros's Athens Diplomacy club – "The Gift Bearers" – and its tagline "Beware of Greeks Bearing Gifts," which Spyros explains is a reference to Virgil's line about the Trojan War, chosen for its local resonance and edge. He also confirms there will be a welcome gift bag for all players at check-in (37 mins 30 secs) Gavin admits to attempting to read the Iliad in preparation and finding the going tough; Spyros explains that even modern Greeks find Homeric Greek fairly obscure, and discusses the remarkable linguistic density of ancient Greek compared to contemporary languages (40 mins) Spyros previews content he still plans to publish on the WDC website: a food guide covering local dishes people shouldn't miss and how to approach them, plus recommendations for experiencing authentic Greek nightlife and an Orthodox church service on Sunday morning (43 mins) They wrap up the interview with Spyros reassuring any hesitant attendees that Greece is safe, welcoming, English-friendly, and set up for international visitors (48 mins) Ken wraps up by expressing his jealousy and thanking Spyros (50 mins) Spyros signs off, noting the first round is exactly two months away from the recording date. If you want to attend WDC 2026 in Athens and haven't signed up yet, or want more info, go to https://athensdiplomacy.club/wdc2026/ (50 mins 30 secs) Post-interview chat Gavin and Ken return and reflect on the interview – particular enthusiasm for the Acropolis guided tour and the Hydra day trip (51 mins 30 secs) Gavin reveals a bonus travel tip: on arrival in Athens before the tournament, he'll be visiting the island that Spyros's family originally came from – a recommendation straight from Spyros himself with full insider knowledge of where to go (53 mins) Ken shares a reflection on visiting Venice as a teenager and then studying the Italian Renaissance in Year 12, noting how historical knowledge transforms the experience of being in a place – relevant for anyone heading to Athens (55 mins 30 secs) They confirm the tournament details: four rounds, Friday to Sunday (22–24 May), with a top board on Sunday. Gavin checks in on the 21st (57 mins) Around the grounds Ken mentions he's been quietly plugging away at a couple of online gunboat games, with mixed fortunes (58 mins 30 secs) Ken floats the idea of setting up a game of the vDiplomacy Greek Diplomacy variant – winner of the World Variant Design Contest in 2010 – to coincide with WDC Athens. Gavin enthusiastically signs up - This game has since begun and you can view it at  (59 mins 30 secs) Gavin gives an update on his Europa Renovatio game (a 36-player variant set in pre-fall-of-Constantinople Europe) – he was positioned for a potential solo before getting dogpiled, and is now manoeuvring to encourage a draw - This has since finished in a draw with Gavin now able to reveal he was playing as the Teutonic Order (1 hr 1 min) Ken provides an overview of Europa Renovatio for listeners who haven't played it, and the two discuss a potential improvement: adding sea lanes across the Sahara to fix the unrealistic around-Africa single-move connection (1 hr 5 mins) Gavin asks whether Ken will bring a recorder to WDC – answer: depends on whether everything fits under the 7kg carry-on limit (1 hr 9 mins) Gavin shares his excitement after scanning the WDC 2026 player list – strong contingents from Australia, France, Greece, the UK, and the US, plus many familiar names from the online scene. Tempers expectations about his own chances of making the top board (1 hr 10 mins 30 secs) The guys wrap up the show (1 hr 12 mins) Venue: At home Drinks for the interview: Oops – we forgot to mention what our drinks were and we don't remember, although Ken definitely had one of his homebrews.  Just a reminder you can support the show by giving it 5 stars on iTunes or Stitcher. And don't forget if you want to help pay off the audio equipment… or get the guys more drunk, you can also donate at Patreon, plus you get extra podcast episodes! Lastly, don't forget to subscribe so you get the latest Diplomacy Games episodes straight to your phone. Thanks as always to Dr Dan aka "The General" for his rockin' intro tune.

Luc Dupont analyse les plus récentes données de Comscore sur les usages numériques au Canada, qui montrent une hausse généralisée de l'utilisation d'Internet sur téléphone intelligent, tablette et ordinateur. La vidéo domine désormais la consommation d'actualité, notamment sur YouTube, tandis que l'audio progresse fortement avec Spotify. L'étude révèle aussi des comportements plus marqués selon les générations, avec TikTok et Snapchat chez les jeunes, alors que les plus âgés privilégient Facebook, Google Maps ou les services météo. Du côté du commerce en ligne, Amazon domine largement, suivi notamment de Temu, Walmart et des acteurs canadiens comme Canadian Tire et IGA. Enfin, l'intelligence artificielle commence déjà à redéfinir les usages numériques, avec OpenAI et son outil ChatGPT qui s'imposent comme référence auprès du grand public.

00:00:00 – Show setup and Monster May tease 00:04:41 – Alex Jones clips melt down 00:09:38 – Ted Turner death confusion 00:14:40 – Shapeshifter folklore taxonomy 00:19:28 – Global myths meet UFO screen memories 00:24:00 – Billy Corgan's shapeshifter encounter 00:28:58 – Calgary's fake commuter mimics 00:33:56 – Shapeshifters as lures 00:38:49 – UFO disclosure rumors target pastors 00:43:36 – Blue Beam, fallen angels, and church briefings 00:48:36 – Alien disclosure threatens theology 00:53:01 – Grusch timeline and Kash Patel dodge 00:57:54 – Childhood's End frames disclosure panic 01:01:40 – Claude becomes an AI religion 01:06:41 – Claude conscience versus GPT utility 01:09:47 – Trump loses conspiracy control 01:14:27 – Star Wars sequel timeline rumor 01:19:00 – NASA scientist's near-death visions 01:23:29 – Jesus star-child debate returns 01:27:51 – Northeast Ohio Bigfoot flap 01:32:35 – Fox Sports hunts a World Cup watcher 01:42:25 – Kids beat age gates with mustaches 01:47:14 – Spirit Airlines resurrection fantasy 01:51:26 – Google Maps breaks Toronto traffic 02:00:06 – Merch warning and show wrap-up   Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research ▀▄▀▄▀ CONTACT LINKS ▀▄▀▄▀ ► Website: http://obdmpod.com ► Twitch: https://www.twitch.tv/obdmpod ► Full Videos at Odysee: https://odysee.com/@obdm:0 ► Twitter: https://twitter.com/obdmpod ► Instagram: obdmpod ► Email: ourbigdumbmouth at gmail ► RSS: http://ourbigdumbmouth.libsyn.com/rss ► iTunes: https://itunes.apple.com/us/podcast/our-big-dumb-mouth/id261189509?mt=2  

Do you blindly follow Google Maps? You may want to rethink that. And Annie has problems with downtown traffic. Ryan has problems with all the flowerpots.

Favour Obasi-ike, MBA, MS, dives deep into the realities of budgeting and investing for SEO services in 2026. Favour explains that businesses should expect to invest between $500 and $10,000 monthly, emphasizing that organic search provides a much higher long-term conversion rate than paid media. The conversation heavily highlights the necessity of technical SEO—such as integrating Google Search Console and fixing canonical tags—before scaling content. Furthermore, Favour breaks down the evolution of "AI SEO," explaining how modern websites must use structured data, updated content tags, and local zip code embedding to ensure they are recommended by AI bots and localized search updates.Who is this for? This content is perfectly tailored for business owners, digital marketers, entrepreneurs, and content creators looking to navigate the technical and financial realities of search engine optimization in 2026. Whether you manage a local brick-and-mortar shop or a global e-commerce brand, this breakdown provides a blueprint for leveraging organic growth and artificial intelligence.Ready to Rank? Book Your SEO & Web Dev Services Today

While 24 hours in New York City isn't very long, you can still pack in numerous activities and meals. When you're in a time crunch, it's even more important to plan efficiently to make the most of your time.In this episode, we'll break down the best way to spend one day in NYC.Breakfast + Central ParkThe best way to start your day in New York City is with a bagel and a stroll through Central Park. There are loads of great bagel spots, but we recommend Liberty Bagels near 5th Avenue.They have a sandwich called The Works, which is basically a bacon, egg, and cheese meets a McMuffin. Delicious and super filling!Pro Tip: Order ahead on their website and skip the long lines.

Should each doctor in your clinic have their own Google Business Profile, or should you stick with one listing for the entire practice?This is a common and confusing local SEO question for clinics, and getting it wrong can lead to duplicate listings, split reviews, ranking issues, and even lost patient inquiries.In this episode, you'll learn the difference between practitioner and practice listings, when it actually makes sense for a doctor to have their own profile, and when it can hurt your visibility instead of helping it.You'll also learn: How multiple listings impact your rankings and reviews  What to do when a doctor leaves, but their listing still shows your address  How to clean up duplicate or outdated profiles without damaging your main listing  Simple steps to protect your clinic's visibility moving forward If your clinic has multiple providers or plans to grow, this is a must-listen before you create or update any listings.Episode webpage, shownotes, and blog post: https://propelyourcompany.com/should-doctors-have-a-personal-google-business-profile-and-a-location-google-business-profile/Book a Google Business Profile Audit: https://propelyourcompany.com/google-business-profile-audit/Send in your questions. ❤ We'd love to hear from you!NEW Webinar: How to dominate Google Search, Google Maps, AI-driven search results, and get more new patients.>> Save your spot

Travel to Historic Locations with History or Drive. Announcing History or Drive: A Map-Based App for Finding History Videos Near You.Scott and Jenn announce the release of their new app, History or Drive, a web-based “portable web app” available at Historyordrive.com that shows nearby Walk With History videos and Talk With History podcasts on a map based on your location, plus National Park pins and History Underground's JD “History Traveler” videos.Users can tap points of interest to watch videos, play podcasts in-app while browsing the map, favorite stops for later, filter by topics (e.g., WWII, Civil War) or creator, and open Google Maps for directions.

In this episode of Medsider Radio, we sat down with Alfred Griffin, co-founder and CEO of LightForce.LightForce is the developer of the world's first fully customized 3D-printed bracket system directly personalized for each patient's digital treatment plan.Alfred holds a DMD and PhD in Craniofacial Biology from the Medical University of South Carolina and completed his orthodontic residency at Harvard School of Dental Medicine, where he currently serves as faculty and the Board of Fellows. An ABO-certified practicing orthodontist, he continues to see patients every month while running the company.In this interview, Alfred shares how applying existing technology to an overlooked market can unlock a larger opportunity, how adoption friction is a design problem, and why scaling a new category requires treating operations as a core product investment.Before we dive into the discussion, I wanted to mention a few things:First, if you're into learning from medical device founders and CEOs and want to know when new interviews are live, head over to Medsider.com and sign up for our free newsletter.And if you're ready to level up your medtech game, you should check out Medsider Courses — 8-week masterclasses covering topics like fundraising, M&A and exit planning, design and development, clinical and regulatory strategy, and commercialization.These courses, featuring hard-earned lessons from elite medtech CEOs, can be purchased individually or come free with our All-Access Pass.If you'd rather read than listen, here's a link to the full interview with Alfred Griffin.KEY MOMENTS FROM THE INTERVIEW(02:43) - How growing up in a family of dentists shaped Alfred's path into orthodontics (07:41) - How LightForce uses digital planning and 3D printing to create fully customized braces (08:48) - Why LightForce isn't a brilliant idea, but an obvious fix for the teen braces market that aligners missed (12:19) - How LightForce is like Google Maps for teeth, eliminating detours and removing inefficiencies (17:30) - How Alfred built LightForce around his clinical strengths and hired for experience to round out the gaps (30:56) - The 3-part secret to LightForce adoption by physicians (36:42) - How Alfred approaches fundraising, matching investors to the company's stage and needs (41:51) - About LightForce's digital factories and why they're the company's core moat

durée : 00:01:48 - De très nombreuses vidéos affirment qu'une nouvelle loi permet au gouvernement de demander aux applications comme Waze de masquer les contrôles de police. En réalité, c'est une mesure qui existe depuis 2021, mais qui ne s'applique pas aux contrôles de vitesse. - réalisation : Armêl Balogog, La cellule Vrai ou faux Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

In this episode, Tommaso and Kimberly share their road trip from Rome to Lago di Garda. They talk about unexpected turns, unique culinary experiences, and the unparalleled beauty of Tuscany in spring. Please follow us on: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠ or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook ⁠⁠⁠⁠⁠⁠⁠⁠⁠! If you enjoy our podcast please leave a review on Apple Podcasts or Spotify, Grazie Mille! Key Points: Driving in Italy: Kimberly explains why they chose to pick up their rental car at Termini train station in Rome. They discuss the benefits of driving on secondary and tertiary roads, including Google Maps' “punto panoramico” feature. Tommaso and Kimberly advise listeners to build in extra time for auto grills during holidays. Culinary Adventures: Kimberly shares details of a lunch with their friend Paolo, a private chef, including a twist on cannoli. They explain how to enjoy the aperitivo lifestyle in Italy, from simple snacks to elaborate preparations. Discovering Hidden Gems: They visit Montefollonico, a tiny hilltop village Tommaso describes as “almost too perfect.” Kimberly highlights the remarkable façade of the Duomo in Montefollonico They explore Castiglione del Lago in Umbria, a village they had never visited before. Reflections: Tommaso and Kimberly emphasize the unique beauty of Tuscany in spring, noting the vibrant green landscapes. They encourage listeners to consider early spring for travel to Tuscany to avoid crowds. They discuss how road tripping allows for spontaneous stops and discoveries.

Suzanne Howard was playing around with Google Maps one day and zoomed in on Concord, in the east bay. She noticed a large open space near Concord High School that wasn't labeled, but had some mysterious looking mounds in a grid pattern. What are those things, she wondered? And, what's being done with this space? Could housing be built there? In fact, a massive redevelopment project is in the works in Concord, but it could take decades to materialize. Additional Resources: Why It's Taken Concord 40 Years to Turn a Bomb Site into a Neighborhood Read the transcript for this episode Why Are There So Many Abandoned Military Bases in the Bay Area? Surprising Ways Former Bay Area Military Bases Are Transforming (And Why It Takes So Long) Sign up for our newsletter Got a question you want answered? Ask! Your support makes KQED podcasts possible. You can show your love by going to https://kqed.org/donate/podcastsThis story was reported by Pauline Bartolone. Bay Curious is made by Katrina Schwartz, Christopher Beale and Olivia Allen-Price. Additional support from Jen Chien, Katie Sprenger, Maha Sanad, Ethan Toven-Lindsey and everyone on Team KQED. Learn more about your ad choices. Visit megaphone.fm/adchoices

From building Applied Intuition from YC-era autonomy tooling into a $15B physical AI company, Qasar Younis and Peter Ludwig have spent the last decade living through the full arc of autonomy: from simulation and data infrastructure for robotaxi companies, to operating systems for safety-critical machines, to deploying AI onto cars, trucks, mining equipment, construction vehicles, agriculture, defense systems, and driverless L4 trucks running in Japan today. They join us to explain why “physical AI” is not just LLMs on wheels, why the real bottleneck is no longer model intelligence but deployment onto constrained hardware, and why the future of autonomy may look less like one-off demos and more like Android for every moving machine.We discuss:* Applied Intuition's mission: building physical AI for a safer, more prosperous world, powering cars, trucks, construction and mining equipment, agriculture, defense, and other moving machines* Why physical AI is different from screen-based AI: learned systems can make mistakes in chat or coding, but safety-critical machines like driverless trucks, autonomous vehicles, and robots need much higher reliability* The evolution from autonomy tooling to a broad physical AI platform: starting with simulation and data infrastructure for robotaxi companies, then expanding into 30+ products across simulation, operating systems, autonomy, and AI models* Why tooling companies came back into fashion: Qasar on why developer tooling looked unfashionable in 2016, why Applied Intuition still bet on it, and how the AI boom made workflows and tools central again* The three core buckets of Applied Intuition's technology: simulation and RL infrastructure, true operating systems for vehicles and machines, and fundamental AI models for autonomy and world understanding* Why vehicles need a real AI operating system: real-time control, sensor streaming, latency, memory management, fail-safes, reliable updates, and why “bricking a car” is much worse than bricking an iPad* Physical machines as “phones before Android and iOS”: Peter explains why today's vehicle and machine software stack is fragmented across many operating systems, and why Applied Intuition wants to consolidate the platform layer* Coding agents inside Applied Intuition: Cursor, Claude Code, internal adoption leaderboards, and how AI tools are changing engineering workflows even in embedded systems and safety-critical software* Verification and validation for physical AI: why evals get harder as models improve, how end-to-end autonomy changes simulation requirements, and why neural simulation has to be fast and cheap enough to make RL practical* From deterministic tests to statistical safety: why autonomy validation is shifting from binary pass/fail requirements toward “how many nines” of reliability and mean time between failures* Cruise, Waymo, and public trust: Qasar and Peter discuss why autonomy failures are not just technical issues, how companies interact with regulators, and why Waymo is setting a high bar for the industry* Simulation vs. reality: why no simulator perfectly represents the real world, how sim-to-real validation works, and why real-world testing will never disappear* World models for physical AI: hydroplaning, construction equipment, visual cues, cause-and-effect learning, and where world models help versus where they are not enough* Onboard vs. offboard AI: why data-center models can be huge and slow, but onboard vehicle models need millisecond-level latency, low power, small size, and distillation-like efficiency* Why physical AI is not constrained by model intelligence alone: the hard part is deploying models onto real hardware, under safety, latency, power, cost, and reliability constraints* Legacy autonomy vs. intelligent autonomy: RTK GPS in mining and agriculture, why hand-coded path-following worked for decades, and why modern systems need perception and dynamic intelligence* Planning for physical systems: how “plan mode” applies to robotaxis, mining, defense, and multi-step physical tasks where actions change the state of the world* Why robotics demos are not production: the brittle last 1%, humanoid reliability, DARPA Grand Challenge-style prize policy, and the advanced engineering gap between research and deployment* Applied Intuition's hard-earned lessons: after nearly a decade, Peter says they can look at a robotics demo and predict the next 20 problems the company will hit* Qasar's advice to founders: constrain the commercial problem, avoid copying mature-company strategies too early, and remember that compounding technology only matters if you survive long enough to see it compound* Why 2014 YC advice may not apply in 2026: capital markets, AI company dynamics, and the difference between building in stealth with a deep network versus building as a new founder today* What Applied is hiring for: operating systems, autonomy, dev tooling, model performance, evals, safety-critical systems, hardware/software boundaries, and engineers with deep curiosity about how things workApplied Intuition:* YouTube: https://www.youtube.com/@AppliedIntuitionInc* X: https://x.com/AppliedInt* LinkedIn: https://www.linkedin.com/company/applied-intuition-incQasar Younis:* X: https://x.com/qasar* LinkedIn: https://www.linkedin.com/in/qasar/Peter Ludwig:* LinkedIn: https://www.linkedin.com/in/peterwludwig/Timestamps00:00:00 Introduction: Applied Intuition, Physical AI, and 10 Years of Building00:01:37 Physical AI vs. Screen AI: Why Safety-Critical Changes Everything00:02:51 The Origin Story: Tooling, YC, and the Scale AI Comparison00:05:41 The Three Buckets: Simulation, Operating Systems, and Autonomy Models00:11:10 Hardware, Sensors, and the LiDAR Question00:14:26 The Operating System Layer: Why Vehicles Are Like Pre-Android Phones00:19:13 Customers, Licensing, and the Better-Together Stack00:21:19 AI Coding Adoption: Cursor, Claude Code, and the Bimodal Engineer00:26:41 Verifiable Rewards, Evals, and Neural Simulation00:31:04 Statistical Validation, Regulators, and the Cruise Lesson00:40:25 World Models, Hydroplaning, and Cause-Effect Learning00:43:34 Onboard vs. Offboard: Latency, Embedded ML, and Distillation00:50:57 Plan Mode for Physical Systems and Next-Token Prediction Universally00:53:04 Productionization: The 20 Problems Every Robotics Demo Will Hit00:58:00 Founder Advice: Constraints, Compounding Tech, and Mature-Company Mimicry01:05:41 Hiring Philosophy: Hardware/Software Boundary and Engineering Mindset01:08:50 General Motors Institute, Education, and the Curiosity MindsetTranscriptIntroduction: Applied Intuition, Physical AI, and 10 Years of BuildingAlessio [00:00:00]: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, founder of Kernel Labs, and I'm joined by Swyx, editor of Latent Space.Swyx [00:00:10]: And today we're very honored to have the founders of Applied Intuition, Qasar and Peter. Welcome.Qasar [00:00:17]: You guys really know how to turn it on to podcast mode. That was, you guys are real pros at this.Qasar [00:00:23]: They were just joking around right before this, and then they flipped it pretty quick.Alessio [00:00:29]: Oh, yeah, it's good to have you guys. Maybe you just wanna introduce yourself so people know the voice on the mic and they'll know what they're hearing.Peter [00:00:33]: Oh, sure. Yeah, I'm Peter Ludwig. I'm the co-founder and CTO of Applied Intuition.Qasar [00:00:38]: And my name is Qasar Younis. I am the CEO and co-founder with Peter.Alessio [00:00:42]: Nice. Can you guys give the high-level overview of what Applied Intuition is? And I was reading through some of the Congress files, when you went out there, Peter, and eighteen of the top twenty global non-Chinese automakers, you two guys, you have customers in agriculture, defense, construction. I think most people have heard of Applied Intuition tied to YC when it was first started, and then you were kinda in stealth for a long time, so maybe just give people the high-level overview of what it is today, and then we'll dive into the different pieces.Peter [00:01:10]: Yeah. So at Applied Intuition, our mission is to build physical AI for a safer, more prosperous world. And so we work on physical AI for all different types of moving systems, everything from cars to trucks to construction and mining equipment, to defense technologies. And we're a true technology company, so we build and sell the technology, and we sell it to the companies that make the machines. We sell it to the government, really anyone that wants to buy a technology to make machines smart.Physical AI vs. Screen AI: Why Safety-Critical Changes EverythingQasar [00:01:38]: Yeah. And I think in the broader AI landscape, a lot of the focus, rightfully so in the last, three years has been on large language models, and so everything fits in a screen. Like, whether it's code complete products or things like that. And what's different about us is we're deploying intelligence onto a lot of things that don't have screens. they're physical machines. There are sometimes screens within the cabin or for example of a car or a truck or something like that, but most of the value we provide is putting intelligence that is in safety critical environments. So that those two words are really important because learn systems can make mistakes if you're asking for, like, some, so something like, “Tell me about these podcast hostsQasar [00:02:28]: that I'm about to go meet.” But you can't do that obviously when you run, like, as an example, we run driverless trucks in Japan right now, as we speak. We can't have errors. Those are L4 trucks. Yeah.Alessio [00:02:40]: Yeah. Was that always the mission? I remember initially, I think people put you and Scale AI very similarly for some things about being kinda like on the data infrastructure side of things. What was the evolution of the company?The Origin Story: Tooling, YC, and the Scale AI ComparisonPeter [00:02:51]: Well, from the very beginning, we always wanted to, really be a technology company that helped generally push forward the industrial sector. And so we started off working in autonomy. Our very first customers were robotaxi companies. And we started off doing a lot of work in simulation and data infrastructure. And then over the years, we've expanded our portfolios. Now we have, over thirty products, and it's a pretty broad technology play within the landscape of physical AI.Qasar [00:03:19]: Yeah, I think the Scale reason is because we're all YC Universe companies. But it was a very different company. Scale, was, is more of a services company, data labeling company fundamentally. We started and still are, do a lot of tooling. So like, you think developer tooling is now in vogue again, thanks to the AI boom. But honestly, ten years ago, it was out of vogue. It w Like, doing a tooling company in 2016, 2017 was not, like, the thing to do because, I don't know if you remember, the VCs generally, their views was that toolings are They're just workflows, and workflows ultimately are not really interesting. And we've gone and come, full circle with that. But when we started the company, our kind of it's kinda like in the periphery of what the company wants to be. It was like, from our earliest days, like, we wanna deploy software on physical machines, like on cars and on trucks and things like that. And obviously, we didn't know that the transformer boom was gonna happen. We didn't know that autonomy systems would become end-to-end. Those things we didn't know. And why that's important when autonomy systems become end-to-end, it is just now those models can be generalized to, multiple form factors. And so back nine, ten years ago, tooling was a great way, and still is a great way to, build the technology and sell technology to our end customers, a lot of them who wanna build this stuff themselves. And so we just offer like a spectrum of solutions from you can just use like one part of a development suite of tools all the way to buying the full thing. The way to think about the company, or at least the way we think about the company is, as Peter said, a technology provider. It's kinda like, what NVIDIA does or what an AMD, but we just don't do chips.Qasar [00:05:06]: We don't do silicon. But we're a technology provider fundamentally. And I think even, we used to joke when we started the company, like, we're not the guys to build, like, Instagram. Like that was just towards That's not our That's just not us in a most fundamental way. IAlessio [00:05:20]: You have thoughts.Qasar [00:05:21]: Yes.Qasar [00:05:22]: Well, it's, it's I mean, I think it's just like what And I mean, we worked on Maps and stuff, Google Maps. Consumer products are extremely difficult for a lot of different reasons. It just, I think doesn't scratch the itch. I think we're like Michigan guys who are kind of more of that traditional engineering kind of a realm, or lineage. we used to jokeThe Three Buckets: Simulation, Operating Systems, and Autonomy ModelsPeter [00:05:41]: I gotta say, though, what was clear ten years ago was that there was so much more that was possible with software and AI in vehiclesPeter [00:05:47]: and that was generally the space that we started in ten years ago.Peter [00:05:51]: And the precise path that we've taken over the years, I think we've been strategic, and we've adjusted to make sure that we're actually building stuff that's valuable to the market. And like, the technology has changed so much. Like our own technology stack has completely changed, I would say, roughly every two years. And so now we've probably done, let's say, four complete evolutions of our own technology stack. And I sort of see that cadence roughly keeping up.Peter [00:06:13]: And so the way even we think about engineering is almost on this two-year horizon, we're preparing ourselves that, hey, like, we wanna invest the appropriate amount, but then also be very dynamic as the research gets published and as our research team figures out new advancements and adapting to that.Qasar [00:06:27]: Yeah. One thing that has been consistent is the type of people we've, we've recruited. It's engineers who are fall into the sometimes very traditional, like, GoogleQasar [00:06:38]: -gen suite, but way different from, other companies. We are hiring folks who really know the intersection of hardware and software, who know really low-level systems. Obviously, traditional ML researchers and folks who've, actually, put ML systems into production. That's been pretty consistent. I think that, like, you look at the mix of our engineering, eighty-three percent of the company is engineering, so it's, like, a giant list.Qasar [00:07:05]: A lot of engineers.Alessio [00:07:06]: Which, by the way, a thousand engineersQasar [00:07:07]: Yeah. A thousand engineers.Alessio [00:07:08]: that's on your website, so I imagine it's up to date.Qasar [00:07:11]: It is, it is up to date, yes. Yes.Alessio [00:07:12]: okay. And then forty-plus founders.Qasar [00:07:15]: Yeah. We would tend to also, This was more luck than strategy. But we've recruited a lot of ex-founders. It's been a great place for founders, YC and non, ‘cause obviously I know a lot of the YC folks. It's kind of like we recruit a lot of Google people.Qasar [00:07:33]: For them to exercise both their technical and non-technical skills because, we're, we're, we're on the applied side. We have a research team that we do fundamental research, we publish, and we've, we've had great traction there. But fundamentally, the business wants to take this intelligence and deploy it into production and there's, like, a certain type of person that's more interested in that.Alessio [00:07:54]: Yeah. You mentioned the tech stack, Peter, so I just wanted to give you some rein to just go into it. I'm interested in where Wayve Nutrition, starts and ends in some sense, what won't you do? What, do you do that's common among all the verticals that you cover?Peter [00:08:10]: There's a few buckets of work that we do, and we've been at this for almost ten years now, so the technology's pretty broad. But we got startedQasar [00:08:17]: Yeah, with a thousand engineers, like, you could work on lots of things.Peter [00:08:19]: There's lots of stuff, yeah, espe-especially with AI tools to help.Peter [00:08:22]: So we got our start in simulation and simulation tooling and infrastructure. And so generally, if you're trying to build a very complex software system that involves moving machines, you need to test that, and the best way to test it is it's a combination of virtual developments, a simulation, and then also obviously real world testing.Peter [00:08:39]: And then there's a very careful process of that correlation between the simulation results and the real world results and ensuring that the simulator is in fact accurate to that. Simulation's a very deep topic.Peter [00:08:49]: We have a whole suite of products in that, and we could talk for many hours about that specifically. But that is one part of what we do as a company. Reinforcement learning as a subpart of that is also super critical. I think a lot of the a lot of the best advancements happening in a lot of these AI systems right now in some way relate to reinforcement learning, and with now we have lots of compute, and you can do tons of interesting things for reinforcement learning. The second bucket of work that we do is on operating systems technology. true operating systems. Like, think about, schedulers and memory management and middleware and message passing and highly reliable networking and data links. Like, the reality is, if you want to deploy AI onto vehicles, you need a really good operating system. And when we were getting deeper into that space, there wasn't really anything that we were happy with.Peter [00:09:39]: Like, things existed, absolutely, and we were using what was available in the market, and as an engineering organization, we roughly realized these things aren't great. We think we can do this better, and so let's, let's build something. And that was then the that was the moment of inspiration that started our operating systems business, which is now a very real business for us. And in order to write and run great AI, you need a great operating system, and so that-that's what got us into that. And then the third bucket that we work on, it's, it's true fundamental AI technology. Models, we do a lot of work in, as mentioned, the foundational research, but then the also the world models and the actual autonomy models that are running on these physical machines, and that's across cars, trucks, mining, construction, agriculture, and defense, and so that's both land, air, and sea.Qasar [00:10:31]: And also, a smaller subsector of that third bucket is the interaction of humans with those machines.Qasar [00:10:38]: So that's a multimodal, experience. Historically, if you're moving a dirt mover or any of these machines, there are, like, buttons you press, whether they're actual physical tactile buttons or something like a touch screen. That's just That fundamentally is changing to where you're just talking to the machine and the machine and you're teaming with the machine.Alessio [00:10:58]: Voice?Qasar [00:10:59]: Yeah, voice, absolutely, yeah.Alessio [00:11:00]: Oh.Qasar [00:11:00]: And also the machine just being aware of who is in the cabin, what their state is. you can think from a safety systems perspective, the most simple version of this is, like, the driver is tired, right? They're, they're if you get those alerts when you're driving your car and saysHardware, Sensors, and the LiDAR QuestionQasar [00:11:15]: -maybe take a coffee break, that take that times, a couple of order of magnitudes up. But this concept of teaming man and machine is important. When you think about running agents or just running, different instances of, Claude and doing work for you in the background, you can take that analogy out, almost copy and paste and put it into, like, a farm, where you have a farmer who's running a number of machines. So where they interact with the machine is where there's maybe a critical decision or a disengagement or something like that, but generally speaking, the agent on the physical machine is running and making decisions on the behalf of the farmer until there's something maybe critical. And that's also what we work on. So that's not pure autonomy. It's a little bit of a mix, but it falls under, autonomy. In the automotive sense, that's typically defined in SAE levels as an L2++ systemQasar [00:12:05]: -with a human in the loop. But just take that idea, to other verticals.Alessio [00:12:09]: Yeah. You've not mentioned hardware at all, like sensors or obviously we you mentioned you don't do chips. I think even in AV there's, like, a big, cameras versus lidars. Like, what are, like, in your space maybe some of those design decisions that you made, and are they driven by the OEM's ability to put things on the machinery? And like, how much influence do you guys have on co-designing those?Peter [00:12:32]: Yeah. So we don't make sensors. Like, we're, we're not a manufacturer. Obviously, we use a lot of sensors in our autonomy products. in terms of what actually goes on the vehicles, we have a preferred set of sensors that we, let's say fully support, and then our customers, they can sort of choose from those. And obviously if there's a very strong opinion on supporting something else, we'll add that to the platform as well. And the lidar question is at this point sort of the age-old,Peter [00:12:59]: topic in autonomy, and the state of the industry right now is lidar is hands down a useful sensor, specifically for data collection and the R&D phase of autonomy development. if you see, for example, a Tesla R&D vehicle, it actually has lidar on itPeter [00:13:17]: to this day, right? In the Bay Area we see these. you'll see, like, Model Ys or Cybercab that have lidars on them just driving around. So it's, it's useful because it gives you per pixel depth information. So if you can pair a lidar with a camerand you can say that, well, this camera's looking this direction, this lidar's looking this direction, and now for each pixel of the camera I can see how far away is that pixel. you can actually then use that as a part of your model training, and then the that depth information then becomes a learned, a learned state of the camera data. And then when you're doing the production system, you can now remove the lidarPeter [00:13:52]: and now you can actually get depth with just the camera. And so that difference between, like, a highly sensored R&D vehicle and then the down-costed production vehicle, we use that across our whole portfolio of products. And of course the end goal is you want super low cost and super reliable.Peter [00:14:08]: And then in certain use cases you have some more, bespoke things. Like in defense as an example, you do things at night oftentimes, and so you care about sensors like infrared, more so than And you don't, you don't wanna be putting energy out, so you don't wanna use lidar or radar.Peter [00:14:23]: but you still need to be able to see at nighttime. So yeah, we work the whole gamut.The Operating System Layer: Why Vehicles Are Like Pre-Android PhonesAlessio [00:14:27]: Cool. So that's kinda like on the hardware level. Then on the OS level, how does that look like? What is, like, unique? my drive- I drive a Tesla. Whenever I drive some other car that has a screen, it always sucks.Alessio [00:14:38]: It's on, like, cheap Android tablet. It's like, it's laggy and all of that. What does the OS of, like, the autonomy future look like?Peter [00:14:46]: When most people, it's really what you just described. When you think about operating system in a vehicle, you're thinking about the HMI, right? The human machine interface, and absolutely that's a an important part of it, but that's actually only one thin layer on top. So when we talk about operating systems for, like, AI in vehicles, there's many layers that go deep into the CPU critical realm and embedded systems, and you're talking about the real time control ofPeter [00:15:13]: let's say the electric motors or the engine and the actuators, and you have different redundancies for different, let's say, the steering actuation in the vehicle. And all of these things, need very core support in the in the operating system. And then of course for autonomy you have real time sensor data that's streaming in, and the latencies there are really important, right? If you try to Imagine you try to run Microsoft WindowsPeter [00:15:35]: like streaming your sensor data in or controlling the vehicle. Like, the latencies are gonna be absurd. Like, you can never do that. And so what's special about what we do is we really have this system level thinking, right? So we're looking at, we care about every performance characteristics of the entire system, and then we also, because we're doing a lot of the software or all of that software, we can fine-tune and control all of those things. So we can very carefully tune in the latencies for every aspect of the system. We can carefully tune in the memory management. We can have the right, fail-safes and fallbacks, for different things. ‘Cause you have to account for what if, what if there is a critical failure? What if there's a cosmic ray that flipsPeter [00:16:14]: a bit in the middle of the processor that causes some, malfunction? And you have to have a fail-safe to all of that, and so the core operating system is a part of that. And then the one last thing, which is a lot less exciting but is, actually a very big topic, is reliability of updates.Peter [00:16:30]: so the I have a Tesla and you get updates fairly frequently, right?Peter [00:16:36]: Once a month. Most companies that are making vehiclesPeter [00:16:40]: are basically never doing updates, and they're And even if they are doing updates, they're usually only updating maybe one module. Maybe they're updating the HMI module. But they're not able to update, let's say, the CPU critical parts of the system.Peter [00:16:51]: You have to go into the dealer for that. And so with our operating system now we can actually enable highly reliable updates of any system in the vehicle, and that's way easier said than done. Like, there's lots of technical, technically deep stuff, in the tech stack to do that in a way that you're not going to accidentally brick a vehicle.Peter [00:17:08]: And right? If, imagine yourAlessio [00:17:10]: That would be bad.Alessio [00:17:11]: Bad.Peter [00:17:11]: Bricking a car is a very expensivePeter [00:17:13]: and honestly, like across the industry maybe one of the most just pure impactful things that we've done is we've just, we're, we're now enabling the industry to actually do software updates.Alessio [00:17:22]: Just to clarify as well, who is the customer for this? Like, I assume a lot of hardware manufacturers have their own firmware, and I'm sure some of them would just have you write it for them because you're experts. And others would have their own. Like, who pays for this? Who invites you into the house? Is it, is it the end user, or is it, is it the manufacturer?Peter [00:17:41]: Yeah. So let me make an analogy firstly on the on the fragmentation of software. So physical machines today are more akin to the state of the phone market before Android and iOS existed, right? So I worked on Android at Google by the way many years ago, and part of the reason that Larry at Google decided to get into Android was they wanted to run Google products on a bunch of phones, and they bought all of these phones from the industry, and it turned out they had like 50 different operating systems on these phones. And it was virtually impossiblePeter [00:18:17]: for Google to make their app run on all 50 devices equally well. And so the solution was, well, actually what if, what if they created-A really great operating system and made it attractive to all of these phone makers, and that was sort of the genesis for what Android was and why Android existed. It was a way for Google to get their products onto really wide diversity of devices. The state of the physical, industry right now, it's a little bit like that. Like, there's yes, these companies have firmware, but they have so many different operating systems, it's so fragmented, and to actually get a modern AI application to run on these vehicles, you actually, you first have to consolidate the operating system, and so that's, that's why we've done that. And then, your specific question was who are our customers? It's, it's, generally it's the companies that are making these machines.Peter [00:19:06]: And we're, we're, we're selling our technology to them to really simplify the architecture and then enable these AI applications to run on them.Customers, Licensing, and the Better-Together StackSwyx [00:19:13]: How much is reusable across? Like, do you have, like, one OS that is just configured for everything, or is there some more customization that is needed?Peter [00:19:22]: Yeah, highly reusable. So the fundamental technology is quite universal, right? So things that we do have to think about though are, like, chipset support. And so if you're, if you're coding, let's say, an LLM and you have start with an assumption that, “Hey, oh, I'm gonna, I'm gonna use CUDA, and I'm gonna run this, on an NVIDIA chip,” then you don't really have to think about the hardware in that sense. Like, you're just, “Okay, I'm just I'm in the CUDA/NVIDIA ecosystem, and I'm, I'm going to use that.” But the hardware, especially in safety critical systems, it's a lot more diverse. There's not one or one or two players. There's a bunch of different chipsets that we have to support. And so our operating system doesn't just run on, like, the equivalent of X86. It has to, it has to run on a number of different architectures from chips from a bunch of different companies. But again, we've been working on this for a long time now, so we have, we have support for all of those chipsets. And then when you want to then run the AI applications, we can then do that reliably across now a variety of providers.Qasar [00:20:19]: And I think that is, like, heavily inspired by Android, right? Android has a huge suite of testing and it's a reliable operating system that runs on thousands of devices. And we think we can, we can do the same in all these physical moving machines, with the difference that we're really in a safety critical realm. Android isn't.Alessio [00:20:40]: So on Android, I don't need to use Gmail, I can use Superhuman. Like, what about your machinery? Like, can people bring somebody else's automation to it, or is it kinda like all-in-one?Qasar [00:20:50]: You have to use us. No. Yeah. we're If, Yeah. Yeah, it's totally open. Yeah.Peter [00:20:56]: Yeah. our philosophy is that we are a technology company, and so we license our technology to customers to use how they want. And so if a customer wants to If they wanna license our autonomy tech and our operating system, then great, we'll license those. If they just wanna license the operating system and then use different autonomy tech, that's fine also, and we have great documentation andSwyx [00:21:17]: Or if they wanna use developer tooling.Peter [00:21:18]: Yeah, exactly.AI Coding Adoption: Cursor, Claude Code, and the Bimodal EngineerSwyx [00:21:19]: It's, like, a better together if, obviously, if you, if they work together. Is it all C++ I assume is with different compile targets?Peter [00:21:27]: We use a lot of C++.Peter [00:21:28]: Rust is sort of a hot, the new hot kid on the blockPeter [00:21:32]: for a bunch of things as well. But yeah, the lower level you get, especially when you get to real-time constraints, you hit C++ at some point, and at some point maybe you work your way into assembly when needed.Swyx [00:21:44]: Oh, damn.Alessio [00:21:46]: I'm curious about the coding agent adoption, just, like, since you're mentioning more esoteric languages. Like, what's the adoption internally? What have you learned?Peter [00:21:55]: Yeah. We use everything. So Cursor was, I think the hottest tool in the company for a good while. Now Claude Code, I think has taken the reign on that. We have a internal leader, leaderboard that we use just to sort of encourage adoptionPeter [00:22:09]: with-within the company. And yeah, it's, they're phenomenally useful. it's, Honestly, we take inspiration from some of those tools also in how we're adapting some of that mindset of thinking to the physical realm. Like if it's so easy to build an app for this or that thing that lives just on a screen, we can We're taking now a lot of the same ideas and applying that to, “Okay, well, if you wanted a physical machine to do something, how easy can we make that, using our own tooling and platform as well?”Alessio [00:22:40]: Are you changing any of, like, the OS architecture, kinda like the way you expose services to, like, be more AI friendly or?Peter [00:22:48]: Yeah, absolutely. The in the early days of our tools infrastructure work, it was a lot about, You had engineers that were experts in certain topics, but the things that you're dealing with, they're oftentimes more mathematical or more abstract, where actually GUI tools are very useful for certain things. Like as an example, we have a product we call Sensor Studio, which is, it helps you design the sensor suite for your autonomous vehicle, whether, again, it could be a car, it could be a drone, could be a mining equipment, could be a robot. And you place sensors in different places. You There's different, There's a library. You can understand what are the trade-offs that you're making in the design of that system, and that was, like, a very, a very GUI intensive, thing ‘cause it's a little more like a CAD tool in that senseSwyx [00:23:37]: YepPeter [00:23:37]: if you've seen CAD tools. Nowadays, though, right, we expose all of the underlying APIs for that and now using, AI agents, you can actually configure a sensor suite with just text and likely reach a better result than you could've through the GUI in the past, and we're taking that thinking now through the whole product portfolio.Swyx [00:23:57]: Another thing I was thinking about is just in terms of, like, AI, adoption, does it change your hiring at least a little bit, or how do you, how do you sort of manage engineers, differently?Peter [00:24:08]: Yeah. absolutely, it does. we, I think like every company in the Valley right now, are evolving our hiring practicesPeter [00:24:16]: because the skills required to be effective are changing so fast, right? you used to really select for just rote implementation ability and now it is more the AI engineer skill set, right? Where it's like, yeah, how to implement, but actually-Just banging out code is no longer the core job, right? It's, it's actually knowing what questions to ask, knowing how to tie, how to tie together these different AI tools. And so the interviews that we give now I think are way harder than they've ever been.Peter [00:24:46]: But we also allow, right, selective use of AI tools to solve the problems. And I think in that you start to see more of a bimodal distribution of engineers, right? You start to see like wow, there's, there's this subset of people that they really get it. Like they're, they're all in and they've, they've clearly invested the hours needed to learn these tools and how to be effective.Peter [00:25:09]: And then there's sort of the group of people that haven't done that, and that the productivity gap is just enormous. And so we're, we're trying to obviously select for the people that are really into this.Qasar [00:25:20]: I first wrote the my AI engineer piece three years ago, and when I first wrote about it, I was like, “Actually, not everyone should be an AI engineer,” ‘cause I think there's a there's an extremist stance where well, every software is an engineer is an AI engineer. And my actual example of people who should not be adopting AI was embedded systems and operating systems, and database people. Are they adopting AI?Peter [00:25:41]: I think it's the classic bitter lesson, topic, which is the Six months ago I would've said the same thing, but it's, it's becoming super useful for every domain.Qasar [00:25:53]: I'm sure.Peter [00:25:54]: Right? Like,Peter [00:25:56]: there was, I think six months ago, or maybe a year ago, if you tried to use, let's say the latest Claude model for writing shaders, GPU shaders, the results were probably underwhelming. And if you use the latest model now to do that kind of task, you're a little bit blown away, like, “Wow, that actually worked. That's amazing.” And we see the same thing in the embedded realm. No question though, especially when you get into safety critical systems, the human validation isPeter [00:26:25]: is 100% key. Like I You're not gonna trust your life to a an AI written software that's, that's not been very carefully, checked by humans. And so I think now the really the challenge is about that appropriate level of human validation for these safety critical systems.Verifiable Rewards, Evals, and Neural SimulationAlessio [00:26:41]: How do you think about, yeah, touching on the simulation side, I think verifiable reward and reinforcement learning is, like, the hottest thing. What have you done internally to build around that? And like, what gives you What makes you sleep at night? Like, if somebody's like, just web coding something or likeAlessio [00:26:57]: wants to try something new, you have like a good enough system. Because I think the opposite is also true, is like if it's super easy to write anythingAlessio [00:27:04]: then it puts a lot of work on like the verifiableAlessio [00:27:07]: side of it. Like, what does that look like for people?Peter [00:27:10]: Yeah. So verifiability, a broader bucket of like evaluations, right? Like how do you evaluate the results that you're, you're getting? I think this is probably the hardest problem right now, because the As the models get better, it can be harder and harder to find the faults on the system.Peter [00:27:29]: And so like the problem of doing proper eval to find those faults, like that problem also keeps getting harder as the models get better. But it's no less important than it's ever been, right? You still there are still going to be edge cases that are not met and whatnot. And so it's, it's a big area of investment for us. On the reinforcement learning topic, the key thing is there's all these new requirements that come to be in the latest generation of these technologies. So for example, end-to-end is the big thing right now in autonomy and physical AI, which is you can now train these models that can effectively take sensor data in and then put control signals out, and get really good results out of that. But the way that you train and improve those models is really different from the previous generations. And so to do reinforcement learning on an end-to-end model, you now need to actually simulate all the sensor data, right? So then this becomes a we call our, work in this neural simulation, but it'sPeter [00:28:26]: think of it like a hybrid of Gaussian, splatting and diffusion methods, and where you really care about performance. Like performance is everything. If you can't do enough simulation fast enough and cheap enough, you actually can't get results that are worthwhile, in the end. It also gets to a lot of our work in embedded systems, which is like performance critical work, and that performance optimization, performance criticality, it carries over to a lot of the model training work. because, like, the only way to make it affordable is it has to be really fast.Qasar [00:28:58]: I think it's worth a few minutes talking about our own, evolving thoughts on verification and validation withinQasar [00:29:05]: kind of, traditional simulators, which are, you can think of like vehicle dynamics or something like that, which you're just taking textbooks and taking those formulasQasar [00:29:13]: and putting them into software, to like now this neural sim/world model universe. I think that's an interesting topic.Peter [00:29:20]: Yeah. So in more traditional development, right, you oftentimes would have, more black-and-white answers to questions.Peter [00:29:28]: And so the in Europe as an example, there's, a regulatory, system, it's called Euro NCAP. It's the European New Car Assessment Program, and as part of that, the vehicles have to pass a bunch of tests, and those tests actually, include, safety systems. So automatic emergency braking for a child that runs in front of a carPeter [00:29:51]: or let's say an occluded child that runs out and you hit it. And so you have You end up with sort of these binary answers of like, well, did the car under test pass this specific test? And there's a very well-known set of test casesPeter [00:30:05]: that the vehicle has to pass. And that was how the industry worked, let's say, until 10-ish years ago. But what's changed now is with these models, everything is statistics, right? Like you no longer have a black-and-white answer, but it's like, well, how many orders of magnitude or how many nines of reliability can I get in the system, and how can I, how can I prove that to be true? And the big unlock honestly for physical AI as an industry is that these models are just becoming much more reliable. Right? Things like things actually work a lot better. It's like the number of nines you can get out of these systems are now good enough that it actually becomes cost effective to really deploy these things. And so the big shift in, so verification and validation has been from a little bit more of a Again the past it was strictly requirements, and are you meeting or not? And now it's more of a statistical, verification and validation case where it's all about how many nines of reliability and meantime between failures, that sort of thing.Statistical Validation, Regulators, and the Cruise LessonSwyx [00:31:04]: And is the target audience regulators or even the customers are yeah, if you I imagine the customers are bought in, and it's mostly regulators that need to be satisfied.Peter [00:31:15]: We do work with the US government, we do work of course with the European governments and the government of Japan, and the government is not like an AI lab by any means.Peter [00:31:25]: So Swyx [00:31:26]: They just care about the outcome.Peter [00:31:27]: They care about the outcome.Peter [00:31:28]: And so we do education, in that regard, and like so sort of teaching about, “Hey, this is how we think validation should be done, and this is an approach that we think is reasonable,” and how to think about like when is a driverless system actually safe enough to go on the roads and that sort of thing. But I wouldn't say that the government is asking for it. It's like we're more teaching the government in that, in that sense. It's honestly, it's more so for our own, our own comfort, right? Like, we want to build very safe systems, and then of course our customers care deeply about that as well. But in that context we're also typically educating our customers.Qasar [00:32:01]: Yeah. Our first, our first core value is on round safety. So I think we can't underline enough that, us also verifying and validating that the systems that we're deploying are safe to us is probably as important as, like, some regulator or a customer saying,Swyx [00:32:19]: Of course. Okay. Yeah.Swyx [00:32:20]: You have to satisfy yourselves.Peter [00:32:22]: As I say, as a whole across the world, regulation oftentimes it's like a almost lowest common denominator. But like, you really have to substantially exceed what the regulators are expecting to make good products.Swyx [00:32:33]: Yeah. One thing I often talk about, I think and I try to make this relatable to the audience also, is Cruise, where they had an accident that basically ended the company. I wonder if people overreact to single incidents, because incidents are going to happen regardless, right? ‘Cause it's a statistical thing, but as long I don't know if regulators understand that, you cannot extrapolate from a single incident, but we do because that's all we have to go on. And your sample sizes are necessarily gonna be lower than, I don't knowSwyx [00:33:00]: consumer driving.Qasar [00:33:01]: Yeah. I think the Cruise example wasn't a technology failure. there was The real, compounding issue there was just how did the company talk to the regulators and what was their kind of behavior, and I think that became more of the issue. If you look,Peter [00:33:19]: It isn't It definitely was a technology failure, but it was made much worse by theSwyx [00:33:23]: Put the car back on the woman.Qasar [00:33:25]: Yeah. And let me put it another way. There is a version where Cruise still exists.Swyx [00:33:29]: right. Right.Qasar [00:33:30]: Right. It'sSwyx [00:33:30]: It was like the last strawQasar [00:33:31]: ItSwyx [00:33:31]: in like a long chain ofSwyx [00:33:33]: like issues.Qasar [00:33:33]: So do you feel like ATG had that horrific accident or someone actually dying, because, that was a homeless person crossing the street? So yeah, I think we can't understate enough that ultimately, like, statistical validation of something, that's one part of it, but it's not the only part of it. Like, consumer and let's say, mainstream adoption of these technologies is also gonna be part of that conversation. I think companies like Waymo are doing a lot of service positively to the industry in the sense of they're, they're setting a high benchmark and they're showing, kind of in a very responsible way how to, how to deal with these. There have been Waymo incidences as well. They've just not been as significant as the Cruise one that you mentioned. But yeah, so I think you'll just continue to see that. I think probably the long term question is really gonna be, again, around Like it is very clear humans are way worse drivers statistically.Qasar [00:34:29]: Like, there's no, there's no debate. And so at what point But we're emotional animals.Swyx [00:34:34]: Yeah. So my thing is, like, we have to get to a point as a society where we accept horrific accidents that would never happen by a human because statistically we understand that it is safer overall. In the same way that planes, they're safer, than I think they're the safest mode of transport that we have.Qasar [00:34:50]: Yeah. it's more dangerous to drive to the airport than it is to get on a flight.Qasar [00:34:53]: So if you're everQasar [00:34:54]: if you're ever getting nervous about getting on a plane, just think “I just gotta get to the airport.”Swyx [00:34:58]: Yes, we're flying.Qasar [00:34:59]: If I get to the airportQasar [00:35:00]: I'll be good.Swyx [00:35:00]: But then it's, planes also concentrate the tail risk if planesQasar [00:35:03]: Yeah. AndPeter [00:35:04]: And I was, I don't think we honestly have to worry about there ever being, accidents from these systems that are like much worse than what humans would cause, ‘cause humans do terrible things.Peter [00:35:14]: Like, people fall asleep at the wheel all the time.Swyx [00:35:16]: I have.Swyx [00:35:17]: Like, I'll call, I've been a drowsy driver.Peter [00:35:19]: Kinda drunk drivers, and that'sPeter [00:35:20]: that's the extreme end of the example. But these AI systems, you have redundancies, you have fallbacks. Like, there's many things have to go wrong for there to actually be a something catastrophic because there's, there's so many, fallbacks that these systems have.Alessio [00:35:36]: your simulation is like so vast because there's so many use cases. What are, like, maybe things that worked in a simulation and then you put it out and it's like, “F**k, this isAlessio [00:35:45]: this just did not work at all?”Peter [00:35:47]: Yes.Alessio [00:35:47]: IsPeter [00:35:47]: That's maybe a bit of a misconception, about simulation there. So let me go a little bit, more technical on this. So at first go, no simulation is going to represent the real world. There's always a process of this, sim to real matchingPeter [00:36:02]: where you actually, you need the real world feedback to basically feed into the parameters that are being used in the simulator, and you have to do that, it's like this validation flow, a number of times until you can get some confidence that, like I think the simulator is now accurately representingPeter [00:36:19]: what's gonna happen in the real world. Now, if you have a situation where you've done that full validation and you thought that it was accurate and then there's something different, those are much trickier cases, and that's, that absolutely can happen, but really I think the validation process is a really important part. You can never skip the simulation validation process, like where you're actually ensuring that, hey, the actual, my sim to real gap here is small enough that I can trust these simulation results. And there's, there's so many fun things that you can do when you get into it. Like, I'll, I'll give one fun example that came up recently is like in these humanoid robotics, systemsOverheating actuators is a real problem, right? So obviously phenomenal demos. IPeter [00:37:01]: The most amazingAlessio [00:37:02]: For 10 minutes.Peter [00:37:03]: The most amazing I can get. I love, I love watching robots do acrobatics like everybody but the these systems actually overheat, right? If, like, And one of the ways you can use simulation though is you can actually have that, the temperature of those actuators be one of the parameters that's representedPeter [00:37:18]: in the simulation. And if you're doing reinforcement learning over a certain task, then the robot can actually adjust its motions in the simulation to account for the fact that, oh, it knows that as it's moving, it's actually beginning to overheat this motor. But if you didn't have that parameter of, let's say, the heat of that motor represented in the simulation initially, then your RL policy might It will disregard that. And now you run that on the robot and the robot will overheat and fail.Alessio [00:37:43]: I guess the question is, like, how do you have all of these parameters taken care of while also understanding the deployment environment? Like, temperature is like a great example, right? WellAlessio [00:37:53]: why did you make my robot worse when it runs in like a freezer?Alessio [00:37:57]: So it actually shouldn't worry about that. it's like, yeah, how do you design these simulations?Peter [00:38:02]: This is honestly the This is what makes simulation so hard, right? it's because you Simulation is fundamentally about you're trying to optimize the development of a system, right? Like, how can I build this system faster and better and cheaper and what are all the levers that I have to actually accomplish that? And because simulation's just a software program, you can, you can change it a lot more easily than you can hardware systems. And then what's particularly awesome about the let's say, world models and using that as a part of simulation is now the simulation doesn't just scale with, let's say, adding new math equations inPeter [00:38:36]: but we can actually scale the simulation environment now with additional real world data and that also unlocks a whole new field of robotics.Qasar [00:38:46]: There is a meniscus line where you cross where still doing real world testing is better. there's, in this, sim-to-real gap, you can reproduce reality at exceedingly expensive costs and this So nothing is free. So really you have to you're finding that line where you're getting great performance, you're getting great feedback, whether it's on the training side or on the eval side, but it's way cheaper than doing it in the real world. At some point it, that doesn't make sense. And so even, from our earliest days in autonomy, our view was you're still gonna do real world testing. You There's, there's not, there's not this, magical land where you're not gonna do that. And maybe even like a more nuanced version of this in like traditional software development is, most of your testing for software in a vehicle, 95% of that can be like traditional CI/CD kind of, flows that you would have in traditional web development. But once you have Now you, let's say you have a truck. Well, you can do like 4% of those in like a rig which has all the components, the electrical and electronics of a truck, but doesn't have, it doesn't have the tires and it doesn't have the And then you have the 1%, which is actually the vehicle. There's something There's a similar analogy in terms of using simulation for intelligent systems. You can do a lot in a simulator, but in using world models, but ultimately it's, it's physical AI. So you're gonna deploy it on physical machines andQasar [00:40:17]: the freezer example comes to, comes to light.Alessio [00:40:20]: The world model thing has been to me the hardest thing toAlessio [00:40:22]: wrap my head around. Like we have Faith Eliyon on the podcast.World Models, Hydroplaning, and Cause-Effect LearningQasar [00:40:25]: We've been doing a small series with like another Intuition company, General Intuition as well.Qasar [00:40:31]: yeah, and I mean, lots of, lots of coverage on NeRFs and yes.Alessio [00:40:34]: Yeah. It feels like we talk with about, the heliocentric system, right? It's like in a world model, if you just feed visual data, the model might learn that the sun spins around the Earth. It makes sense, right? And it's like, well, not really. And I think what are like some of these other things that like hydroplaning is one thing I think about, is like can a world model understand hydroplaning and like what amount of water like causes it to happen? And it's like, yeah, to me it's like I don't understand how you guys do it. I guess it's like the real thing is like when you're doing both cars and the highway in Japan versus the excavator in a mine in,Qasar [00:41:13]: ArizonaAlessio [00:41:13]: wherever you're Arizona, wherever you're deploying them.Alessio [00:41:15]: How much of it are you relying on the world models to like generate the simulations for you and then try and close the gap after versus like giving the world models as a tool to your engineers to like curate the simulations if that makes sense?Peter [00:41:28]: Yeah, totally. So yeah, I can say at a pure engineering level, I think if you're hoping to do real world deploys and you're purely relying on a world model approach, you probably won't get to something that works, before you go bankrupt. So there is just a very practical mindset of like, world models are amazing and they're extremely useful for a lot of use cases, but there are a lot of other things that you need to do to actually get something started and something deployed and working. most fundamentally, world models are all about It's understanding the world, but also understanding what's going to happen. It's like the cause-effect relationship.Peter [00:42:01]: Right? And so like it, right, if you have a take some sort of construction tool, and that construction tool is gonna be doing some work on the Earth in some way, it's gonna be moving earth, the world model needs to understand that cause-effect relationship. Like, okay, when I, when I take this material from here and put it over there and now I have things that are over here and not over there anymore and that cause-effect, relationship. data obviously is a is a big problem. The hydroplaningPeter [00:42:26]: one is actually a really great example because it's actually quite non-obvious sometimes. Right? It's like, well, it's, it's raining and well this road, has, let's say the appropriate curvature to it so the water is running off the road and cars are driving faster here and then you approach a road that's very flat and water is now puddling on that road and all of a sudden cars are driving slower because when they were driving faster they were starting to lose control. And there are a lot of visual nuance, very nuanced visual cues in the scene and so I do think in the world model concept there's a good chance that the model actually would learn that you should just drive slower when these visual cues exist, and that's obviously the beautiful-The beauty of, these kinds of models where they just, they learn these non-obvious things.Swyx [00:43:14]: It doesn't need to know about hydroplaning to know that it needs to drive slower.Peter [00:43:17]: Yes.Swyx [00:43:17]: I guess it's Yeah. I wanna ask questions about, also deploying models. I presume, like, you use a lot of these world models for training data and simulation, but what about deploying it onto the systems in production? Presumably you have you have, like, GPUs on deviceOnboard vs. Offboard: Latency, Embedded ML, and DistillationSwyx [00:43:36]: but they're I keep saying on device. What's the what's the right term for that?Peter [00:43:40]: On machine.Swyx [00:43:41]: On machine.Peter [00:43:41]: Or embedded, yeah.Swyx [00:43:42]: Yeah. What is the embedded world like? because for people who are not used to that world, this is very alien.Peter [00:43:49]: Yeah. So it's actually We call it onboard and off board.Peter [00:43:52]: So like, onboard software and off board software.Peter [00:43:54]: And the great thing about off board software is you don't have to care about time, and you can run really large models, right? So you can, you can say, “Well, this model, I don't care if it takes one second for it to give me a result or 10 seconds for it to give me a result, because we have time.” And the models can be really big, and they can run, in a data center or on a on a huge GPU and you can obviously have distribute to compute, et cetera. But onboard you don't have any of those benefits. You're like, “Well, I need I have this many milliseconds where I need an answer from this model.” And so a lot more of the energy then is about, think of it more like distillation and it's like truly efficiency and like, literally every fraction of a millisecond counts. And you can't have a situation where the model takes too long because then the vehicle can't actually function.Peter [00:44:42]: And so you can, you can still use a lot of the same techniques, and the models themselves you can think of as like a derivative of larger models that you can run offline, and then you're, you're trying to just get a model that is still performs really well but it's, it's a it's smaller, small enough version that you can then run on this embedded system where you care about latency and power.Qasar [00:45:03]: Yeah. And I think like, the broader point I think which, maybe is not obvious but it's worth saying is in physical AI world, we're not really constrained right now by, like, the intelligence of the models. It's actually what Peter's talking about, it's actually deploying them inSwyx [00:45:19]: The hardware they give you.Qasar [00:45:21]: Yeah. On the hardware you give you.Qasar [00:45:22]: And so And there's just a reality is of safety critical systems. So those end up being the your limiting factorsQasar [00:45:29]: rather than, let's say, a limiting factor for, a foundation model companyQasar [00:45:34]: is gonna be just capital maybe or researchers.Qasar [00:45:38]: So we're, we're in that way dealing with, for us as people who kind of come in that realm with like a very interesting Those constraints force creativity.Swyx [00:45:47]: And I imagine, nobody was deploying or giving you the hardware for transformers back in 2018, whatever, but now they are. What's the evolution like? just peel back the curtains a little bit.Peter [00:45:59]: Yeah. Transformers first off, I think the paper was originally published in 2017.Swyx [00:46:02]: 2017.Swyx [00:46:02]: So there's no time.Peter [00:46:04]: And ISwyx [00:46:05]: But I'm just saying I guess I'm saying, like, embedded ML systems usually, like, a lot less parameters, a lot less compute, and now, like, orders of magnitude more.Peter [00:46:14]: Yeah. absolutely. what I was gonna say though was I think in the in the original paper in 2017, maybe it's in the last paragraph, somewhere in the paper they talk about, like, “Oh, by the way, this technique might be useful for, like, images and videos as well.”Peter [00:46:30]: These last subjects.Peter [00:46:31]: And it took a few years for that impact to really hit. But like, now, we're seeing transformers are everywhere.Swyx [00:46:39]: Yeah. Vision transformers.Peter [00:46:40]: And then then the compute just keeps getting better and better. But you do have this fundamental trade-off, right? It's like you have power, you have cost, and performance and like, getting the right, getting the right mix of those things in an embedded package that can also be, like, shaken and baked in all thePeter [00:47:00]: conditions that these things have to have to operate in. But yeah, I think that they're only going to keep getting better and so we also try to plan our strategy understanding that, we know the rate of improvements of these systems.Swyx [00:47:11]: Yeah. So like, Google just released the Gemma 2B modelSwyx [00:47:15]: that effective 2B model. Is that useful to you guys or is that too big?Peter [00:47:18]: You can run that model on an embedded system, definitely.Peter [00:47:21]: the So yes, it's, it's useful in that regard. The bigger question is, like, what do you use it for in an embedded system? Like, you actually need to customize it quite a bit to make it useful for something. But yeah, you could run a two billion parameter model, definitely.Swyx [00:47:35]: It also interesting, like, what percent is a custom ML model that only does that thing versus a generalist LLMSwyx [00:47:41]: which probably is not that useful actually for your context.Peter [00:47:46]: Like, you, like, you can imagine different use cases, right?Peter [00:47:48]: So theSwyx [00:47:49]: The voice stuff, yes.Peter [00:47:49]: Yeah, the voice test. Totally, yes.Peter [00:47:51]: So for the actual, autonomy elements, that's 100% in-house. We do every bit of that, the data simulation, the model, everything. But when you get into the more generic use cases like voice or voice assistant kind of thing, that's where these more generalist models like Gemma actually can be quite, can be quite useful.Swyx [00:48:09]: Yeah. And then there's also obviously a trade-off between, like, what percent must you do on machine, versus just call home.Peter [00:48:16]: Yeah. It's all about latency.Swyx [00:48:17]: Latency.Peter [00:48:17]: It's all about latency. Yeah.Swyx [00:48:18]: Yeah. Well, like, I think actually in a lot of contexts, especially in the US, you can just have a connection to the web.Qasar [00:48:26]: Yeah. I think though most of our universe is everything has to be fairly, embedded and local because just the nature of Even in the US there's a lot of likeSwyx [00:48:39]: PatchinessQasar [00:48:40]: don't haveQasar [00:48:41]: have coverage, right? And if you look at, like, the old world of autonomy within mining, which is, like, long before transformers and kind of, neural networks, in the like CNN and kind of a universe, they were really just hand-coded, systems. They were just like, this machine is gonna run to that place with thisPeter [00:49:03]: That was our GPS, like very accurate GPS.Qasar [00:49:05]: Yeah. And so that worked, and that worked for 20 years, so why would we actually need to use transformers or kind of more modern end-to-end systems? Mainly because you can only really run a path and run backwards. That provided a lot of value, but m-Not as much as you get when the machine is actually intelligent. It's, it's seeing, it's perceiving, it's acting in a dynamic world.Alessio [00:49:28]: I looked up RTK, real-time kinematic, one to two-centimeter accuracy.Qasar [00:49:32]: Yeah. Fantastic. But the and fantastic in faraway lands where there's not gonna be cell phone coverage.Peter [00:49:39]: Yeah, so it's widely used on the legacy mining and agricultural autonomy systems today. So like, for example, a combine that can be precise within one or two centimeters as it's driving down the field, they use RTK.Qasar [00:49:53]: Yes.Peter [00:49:53]: But it's, it's expensive.Qasar [00:49:54]: Yeah. And it's, it's, it's autonomy, but it's not intelligent in the way that I think all of usQasar [00:49:58]: if in twenty-six we'd be talking about intelligence.Alessio [00:50:00]: In one of your blog posts, you mentioned research on large scale transformers that are similar to those doing modern generative AI. What are, like, the big differences other than, “You're absolutely right. I should steer the car, so you probably wanna remove that?”Peter [00:50:14]: We have a diversified bet strategy internally, and the reason we've done that is because we operate in now a bunch of industries, a bunch of geographies, and each of the approaches has, obviously a different risk to them.Peter [00:50:27]: And so like, we're not going to put all of our eggs in a single basket for a single approach because that approach may no

Cet épisode solo est un développément de ma newsletter à laquelle vous pouvez vous abonner ici!Depuis vingt ans, la Silicon Valley nous vend la même promesse : une vie fluide, sans résistance, où tout est à portée de clic. Et on a dit oui. Collectivement, sans jamais vraiment en discuter. Le café en dosette plutôt que le café moulu. La playlist algorithmique plutôt que les morceaux glanés un à un. La livraison en deux heures plutôt que la sortie en ville. Individuellement, chaque choix semblait raisonnable.Dans cet épisode, j'explore ce que cette idéologie du "frictionless" nous a réellement coûté, au-delà de l'addiction aux écrans et de la perte d'emplois : une vie qui glisse sans s'accrocher nulle part, une capacité à raisonner qui s'atrophie, un monde commun qui disparaît, et une génération entière structurellement fragile face aux vraies tempêtes.J'interroge les travaux de Matthew Crawford sur la résistance productive, de Tim Wu sur la commodité comme idéologie dominante, d'Hannah Arendt sur le monde commun, de Jonathan Haidt sur la santé mentale des adolescents depuis l'arrivée des smartphones, de Pablo Servigne sur le "réseau des tempêtes" comme seule vraie résilience, et d'Hartmut Rosa sur la résonance. Je m'appuie aussi sur Viktor Frankl, Harry Frankfurt, Sherry Turkle et Cal Newport.Ce n'est pas un texte technophobe. Je commande sur Amazon, je prends des Uber, j'utilise Claude Cowork tous les jours. Mais je me demande, honnêtement, ce qu'on a accepté de sacrifier sans jamais en discuter collectivement. Et si le vrai futur, ce n'était pas un futur sans friction, mais un futur dans lequel on utilise les outils pour monter le niveau d'exigence, pas pour le faire descendre.CITATIONS MARQUANTES1. "La commodité, dans sa version la plus avancée, ne supprime pas juste la contrainte. Elle supprime aussi l'expérience."2. "Une vie dans laquelle il n'y a aucune friction est une vie dans laquelle nous mourons dans le même état que celui dans lequel nous sommes nés. Il ne s'est strictement rien passé." (Michael Dandrieux)3. "On a remplacé le raisonnement par l'accumulation de contenus et de données. Et ces deux choses ne sont pas du tout équivalentes."4. "Des livrables plus beaux, des décisions moins bonnes." (dirigeant d'un cabinet de conseil en stratégie)5. "La démocratie est un effort. Pas seulement un effort de l'intelligence rationnelle. Un effort de confiance aussi. D'aimer son prochain qu'on ne connaît pas." (Edward Snowden, via Flore Vasseur)IDÉES CENTRALES1. La friction n'est pas un bug, c'est ce qui nous constitue Timestamp estimé : 06:30 – 14:30 Matthew Crawford le formule mieux que quiconque : l'engagement avec la résistance du monde réel est précisément ce qui nous constitue comme humains. Quand vous apprenez un instrument, la difficulté des cordes, les fausses notes, la coordination des doigts, c'est ce qui crée la compétence. Et avec la compétence : la fierté, la dignité, le sens. Une application qui jouerait à votre place vous donnerait le son mais pas la musique. Le résultat sans le chemin. Et sans ce chemin, vous avez perdu l'essentiel. La Silicon Valley a fondé son modèle entier sur l'idée inverse : le chemin est le problème, le résultat est tout ce qui compte. C'est une erreur anthropologique majeure.Pourquoi c'est important : Cette inversion du rapport à la difficulté n'est pas anodine. Elle redéfinit ce qu'on entend par compétence, par satisfaction, par vie accomplie.2. Le monde commun est en train d'être démantelé, et c'est une catastrophe démocratique Timestamp estimé : 17:30 – 26:00 Hannah Arendt avait conceptualisé le "monde commun" comme l'espace partagé où se construit la politique, l'humanité, la rencontre avec l'Autre. Ce que la Silicon Valley a systématiquement attaqué, pas par malveillance mais par logique économique, c'est exactement cet espace : chaque moment dans le monde commun est un moment non monétisé. Résultat : des "fantômes collectifs" qui occupent le même espace physique mais vivent dans des réalités informationnelles complètement différentes. Et une démocratie qui continue à s'animer mais qui a perdu sa fonction : elle produit du bruit, pas de la délibération.Pourquoi c'est important : La montée des autocraties, le repli tribal, l'incapacité à cohabiter avec la différence : ce n'est pas qu'un problème politique. C'est un problème d'espace. On a supprimé les lieux où on apprenait à vivre avec ceux qui ne pensaient pas comme nous.3. Déléguer la pensée, c'est perdre la capacité d'apprendre de ses erreurs Timestamp estimé : 26:00 – 37:30 Les grands modèles de langage prédisent sans comprendre pourquoi. Ils corrèlent sans expliquer. Et quand on utilise un outil qui prédit sans expliquer, on obtient des réponses dont on ne peut pas évaluer la validité si on n'a pas cheminé sur le sujet. L'effet de contentement fait le reste : le résultat a l'air assez bon pour qu'on ne dépense pas l'énergie cognitive à voir si on serait arrivé à autre chose par soi-même. Des livrables plus beaux, des décisions moins bonnes.Pourquoi c'est important : La question n'est pas "est-ce que l'IA va remplacer les journalistes ?" La vraie question : est-ce qu'une société dans laquelle pas suffisamment de personnes ne s'entraînent à évaluer un argument est encore capable de se gouverner elle-même ?4. Une génération protégée de l'inconfort mineur devient catastrophiquement fragile face à l'inconfort majeur Timestamp estimé : 37:30 – 46:30 Jonathan Haidt montre comment la corrélation entre smartphones et dégradation de la santé mentale des adolescents depuis 2012 est réelle et préoccupante. La thèse intuitive de Greg : si on protège quelqu'un de tout inconfort mineur, on lui retire les occasions de développer la capacité à gérer les inconvénients majeurs. Pablo Servigne ajoute la dimension collective : la résilience, ce n'est pas une infrastructure, c'est du lien. Et ce que la Silicon Valley a vendu, ce sont des substituts de lien : larges et superficiels plutôt qu'étroits et profonds.Pourquoi c'est important : La logique frictionless crée ses propres victimes : elle optimise pour les conditions normales et rend les gens catastrophiquement fragiles face aux conditions anormales.5. La discipline de la résistance comme réponse systémique, pas individuelle Timestamp estimé : 01:03:00 – 01:08:00 Greg refuse le solutionnisme individuel. Il ne propose pas une liste de hacks. Il propose un concept : choisir consciemment de ne pas déléguer certaines choses précises, pas toutes, pas par idéologie, mais parce qu'elles vous construisent. Ce qu'Hartmut Rosa appelle la résonance : ces moments où quelque chose dans le monde vous touche vraiment, vous transforme, vous répond. La résonance ne se commande pas. Elle surgit dans la lenteur, l'attention, le contact vrai avec quelque chose qui résiste.Pourquoi c'est important : Le futur dont Greg parle n'est pas nostalgique et pas technophobe. Il utilise les outils pour monter le niveau d'exigence, pas pour le faire descendre. C'est une position nuancée dans un débat qui ne l'est généralement pas.QUESTIONS STRUCTURANTES THÉMATIQUES(Newsletter solo : pas d'invité. Voici les questions que le texte soulève et auxquelles il répond, utilisables comme fil éditorial ou comme amorces de discussion.)1. En quoi la promesse d'une vie "sans friction" est-elle devenue une idéologie, et pas seulement une amélioration technique ?2. Qu'est-ce qu'on a vraiment perdu en supprimant les petites résistances du quotidien, au-delà de l'inconfort évident ?3. Pourquoi la difficulté est-elle constitutive de la compétence, de la fierté et du sens, selon Matthew Crawford ?4. Comment la logique économique des plateformes explique-t-elle l'attaque systématique sur le "monde commun" d'Arendt, sans qu'il y ait besoin d'invoquer une théorie du complot ?5. Quelle différence y a-t-il entre raisonner et générer, et pourquoi cette distinction est-elle cruciale pour comprendre ce que l'IA fait à notre capacité de décision ?6. Comment l'atrophie de l'esprit critique, accélérée par les outils IA, peut-elle devenir un problème démocratique, pas seulement individuel ?7. En quoi une génération numériquement protégée de l'inconfort mineur devient-elle structurellement vulnérable face aux crises majeures ?8. Quelle est la différence entre une technologie qui augmente les capacités humaines et une technologie qui les remplace ? Comment faire la distinction dans ses propres usages ?9. Qu'est-ce que le concept de "résonance" de Hartmut Rosa apporte au débat sur la relation à la technologie, au-delà du débat sur l'addiction aux écrans ?10. Que signifie concrètement "une discipline de la résistance", et pourquoi ce n'est pas la même chose qu'un retour en arrière ou un rejet de la technologie ?RÉFÉRENCES CITÉESPhilosophes et penseursMatthew Crawford, philosophe américain entre philosophie et mécanique moto. Livre cité : "The World Beyond Your Head". Thèse : l'engagement avec la résistance du monde réel constitue l'humain. Bloc 4, ~08:00Tim Wu, professeur à Columbia. Livre cité : "Les marchands de l'attention". Concept : la commodité comme valeur suprême ayant remplacé la liberté et l'individualité. Bloc 5, ~11:30Hannah Arendt, philosophe. Concept cité : le "monde commun", espace public partagé nécessaire à la démocratie et à la rencontre avec l'Autre. Bloc 7, ~19:00Harry Frankfurt, philosophe américain. Distinction : le mensonge vs le "bullshit". L'IA comme infrastructure industrielle pour le bullshit. Bloc 10, ~35:00Viktor Frankl, psychiatre, fondateur de la logothérapie, survivant des camps de concentration. Thèse : les humains supportent n'importe quelle difficulté si elle a un sens, et s'effondrent face au confort vide de sens. Bloc 15, ~59:00Hartmut Rosa, sociologue allemand. Concept cité : la "résonance", ces moments où quelque chose dans le monde nous touche et nous transforme. Livre sous-jacent : "Résonance". Bloc 16, ~01:03:30Sociologues et psychologuesMichael Dandrieux, sociologue, ami de Greg. Citation : "Une vie sans friction est une vie dans laquelle nous mourons dans le même état que celui dans lequel nous sommes nés." Bloc 6, ~16:00Jonathan Haidt, psychologue américain. Thèse : corrélation entre l'arrivée des smartphones (2012) et la dégradation de la santé mentale des adolescents, en particulier les filles. Bloc 11, ~38:00Sherry Turkle, professeure au MIT. Livre cité : "Ensemble mais chacun seul". Thèse : on peut être hyperconnecté et ne jamais vraiment rencontrer personne. Bloc 8, ~24:30Cal Newport, auteur. Formule citée : "La capacité de produire quelque chose de valeur est proportionnelle à la capacité de se concentrer sur des choses difficiles." Bloc 9, ~29:30Pablo Servigne, chercheur sur les effondrements, invité de Vlan!. Concept cité : le "réseau des tempêtes" comme seule vraie résilience. La résilience, c'est du lien, pas une infrastructure. Bloc 11, ~41:00Invités de Vlan! citésKim Chapiron, réalisateur, ancien invité de Vlan!. Observation : depuis 2001, aucune superproduction hollywoodienne sans un musulman armé présenté comme terroriste. Bloc 10, ~32:00Flore Vasseur, réalisatrice de "Meeting Snowden", ancienne invitée de Vlan!. Citation d'Edward Snowden extraite du film : "La démocratie est un effort." Bloc 15, ~01:00:00Sociologue de la ville (non nommé), ancien invité de Vlan!. Observation : plus une ville est grande, plus elle rend seul. Bloc 8, ~25:30Études et donnéesÉtude dans le métro canadien : des passagers forcés à parler à des inconnus pendant 3 semaines étaient significativement plus heureux que ceux qui ne l'étaient pas. Bloc 7, ~18:30Rapport d'Universciences cité : 76% des Français pensent avoir un bon esprit critique, mais 40% refusent de parler avec des personnes ayant un avis opposé. Bloc 10, ~33:00Plateformes et dirigeantsReed Hastings (CEO Netflix), citation paraphrasée : "Mon plus grand concurrent, c'est votre sommeil." Bloc 7, ~22:00Outils technologiques mentionnés par GregClaude Cowork, Amazon, Uber, Dropbox, Google Maps, Deliveroo, Uber Eats, Netflix, ChatGPT, Instagram, Tinder, Duolingo, Khan Academy.TIMESTAMPS CLÉS00:00 - Intro : je déteste la discipline, mais j'ai peur qu'on me vole ma vie Greg installe la tension centrale : son aversion à la contrainte vs sa lucidité sur ce qu'on accepte de sacrifier sans s'en rendre compte. L'expression "c'est pratique" comme porte d'entrée d'une idéologie.01:30 - La voiture à 10 cm du sol La métaphore fondatrice. Une voiture de sport surélevée de quelques centimètres ne roule pas, le moteur tourne en vain. Sans friction entre les pneus et le sol, aucun mouvement. C'est exactement ce que la Silicon Valley nous a vendu depuis 20 ans.04:00 - Google Maps décide de ton chemin. Netflix de ce que tu regardes. Tinder de ta vie. L'inventaire de la délégation totale. Chaque décision existentielle progressivement confiée à une plateforme. Et la question posée : confondons-nous facilité et progrès ?06:30 - L'anecdote du frigo vide à Lisbonne Greg rentre chez lui, frigo vide, premier réflexe : app, Uber Eats, Netflix. Il réalise ce qu'il rate : les conversations avec les commerçants, les rencontres fortuites, les surprises de la rue. "Ces petites collisions ponctuent la réalité et lui donnent de la texture."09:00 - Matthew Crawford : la friction n'est pas un bug, c'est ce qui vous constitue comme humain Introduction du philosophe qui travaille entre la philosophie et la mécanique moto. Son idée centrale : la résistance du monde réel est ce qui nous fait humains. Exemple de l'apprentissage d'un instrument de musique : sans la difficulté des cordes et des fausses notes, on a le son mais pas la musique.11:30 - Tim Wu : la commodité est devenue une idéologie, plus prégnante que n'importe quelle position politique Professeur à Columbia, auteur des "Marchands de l'attention". La commodité a remplacé la liberté et l'individualité. Et on y est arrivé micro-décision par micro-décision, sans jamais voter pour.14:30 - La journée où il ne s'est rien passé Le sentiment de regarder ses journées et de réaliser que rien n'a résisté. Rien n'a laissé de trace. Michael Dandrieux, sociologue : une vie sans friction, c'est mourir dans le même état qu'on est né.17:30 - L'étude du métro canadien et Hannah Arendt Des passagers forcés à parler à des inconnus pendant 3 semaines sont les plus heureux. Arendt et le "monde commun" : l'espace partagé sans lequel la démocratie ne tient pas. Ce que la Silicon Valley a attaqué, par logique économique pure : chaque moment dans le monde commun est un moment non monétisé.23:00 - "Les fantômes collectifs" et Sherry Turkle Des gens qui occupent le même espace physique mais vivent dans des réalités informationnelles parallèles. Turkle : "Nous sommes ensemble mais chacun seul." Et le paradoxe : plus on est connecté, moins on rencontre l'Autre qui dérange.26:00 - L'IA rend les présentations plus belles et les décisions moins bonnes Un dirigeant de cabinet de conseil stratégique. La distinction entre raisonner et générer. L'effet de contentement. Cal Newport : la valeur est proportionnelle à la capacité de se concentrer sur des choses difficiles.31:30 - L'esprit critique sous perfusion 76% des Français pensent avoir un bon esprit critique, 40% refusent de parler à qui pense différemment. L'IA comme la plus grande expérience d'atrophie collective de l'esprit critique. Harry Frankfurt : l'IA comme infrastructure industrielle pour le bullshit.37:30 - Jonathan Haidt et la génération fragile Depuis 2012 et l'arrivée des smartphones : hausse spectaculaire de l'anxiété et de la dépression chez les adolescents. Protéger de l'inconfort mineur, c'est retirer les occasions de développer la capacité à gérer l'inconfort majeur.41:00 - Pablo Servigne et le réseau des tempêtes La résilience n'est pas une infrastructure. C'est du lien. Des liens denses, réels, entre des gens qui se connaissent vraiment. Ce que la Silicon Valley a vendu : des substituts de lien, larges et superficiels, qui ne tiennent pas quand la vraie tempête arrive.46:30 - La question inconfortable : pouvez-vous rester seul deux heures sans écran ? Pas en retraite de méditation. Juste un dimanche après-midi ordinaire. Le silence dans la salle, c'est la réponse. L'idéologie frictionless a détruit notre capacité à supporter notre propre compagnie.52:00 - Duolingo, Khan Academy : la friction productive comme modèle alternatif Des technologies qui construisent des capacités plutôt que de s'y substituer. L'intelligence conative comme test ultime : est-ce que cet outil libère ma puissance d'agir ou crée une béquille ?57:00 - Ce que la Silicon Valley n'a pas compris La paresse intellectuelle n'est pas californienne ("Panem et circenses" date de 2000 ans). Ce qui est nouveau : l'échelle et la sophistication. Viktor Frankl : les humains supportent n'importe quelle difficulté si elle a un sens.01:03:00 - La discipline de la résistance et Hartmut Rosa Pas une liste de hacks. Un principe : choisir consciemment de ne pas déléguer certaines choses parce qu'elles vous construisent. Rosa et la résonance : elle surgit dans la lenteur et le contact vrai avec ce qui résiste. Le futur qu'on n'a pas encore construit. Suggestion d'épisode à écouter : [SOLO] Qu'est-ce qu'une bonne vie et autres questions métaphysiques de rentrée (https://audmns.com/DHiQJnu)Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

-Rob celebrates “winning” with deportations, court victories, and Tucker Carlson's popularity taking a nosedive faster than a bad Google Maps rating. -On the Newsmax hotline, Mary Walter joins to break down Hunter Biden's financial mess, accidental butt-dials, and AI country remixes of Michael Jackson songs. Today's podcast is sponsored by : CRUISE & TOUR - Enjoy four days and nights visiting the most popular historic sites of Washington DC with your host Rob Carson, host of Newsmax Radio's Rob Carson Show! Hotels, meals, and gratuities included! Space is limited so Don't wait. Visit http://TravelWithRob.net to book your DC Getaway today… GHOSTBED - I used to think a mattress was just furniture, until I got my GhostBed! GhostBed is offering my audience their lowest prices of the season, plus an extra 10% off. Go to http://GhostBed.com/CARSON and use promo code CARSON BIRCH GOLD - Protect and grow your retirement savings with gold. Text ROB to 98 98 98 for your FREE information kit! To call in and speak with Rob Carson live on the show, dial 1-800-922-6680 between the hours of 12 Noon and 3:00 pm Eastern Time Monday through Friday… Musical parodies provided by Jim Gossett (http://patreon.com/JimGossettComedy) You can now WATCH and chat with The Rob Carson Show LIVE on Newsmax's social media channels (Facebook, X/Twitter, YouTube, Rumble) Listen to Newsmax LIVE and see our entire podcast lineup at http://Newsmax.com/Listen Make the switch to NEWSMAX today! Get your 15 day free trial of NEWSMAX+ at http://NewsmaxPlus.com Looking for NEWSMAX caps, tees, mugs & more? Check out the Newsmax merchandise shop at : http://nws.mx/shop Follow NEWSMAX on Social Media:  -Facebook: http://nws.mx/FB  -X/Twitter: http://nws.mx/twitter -Instagram: http://nws.mx/IG -YouTube: https://youtube.com/NewsmaxTV -Rumble: https://rumble.com/c/NewsmaxTV -TRUTH Social: https://truthsocial.com/@NEWSMAX -GETTR: https://gettr.com/user/newsmax -Threads: http://threads.net/@NEWSMAX  -Telegram: http://t.me/newsmax  -BlueSky: https://bsky.app/profile/newsmax.com -Parler: http://app.parler.com/newsmax Learn more about your ad choices. Visit megaphone.fm/adchoices

Cookie banners — those pop-ups that appear on practically every webpage demanding you accept their tracking systems — are one of the most consistent low-grade annoyances of life online. But Kate Klonick, a professor and writer, argues they're actually much worse than that, and the only plausible solution is to get rid of them entirely. After that, The Verge's Allison Johnson tells us about her AI-enhanced Google Maps experience, and why the new Ask Maps feature has the potential to be both incredibly cool and incredibly creepy. Then, she helps David answer a question from the Vergecast Hotline (call 866-VERGE11 or email ⁠vergecast@theverge.com⁠!) about whether E Ink phones might solve all our problems. Vote for The Vergecast in the Webby Awards! A vote for The Vergecast is a vote that Brendan Carr is a dummy, that buttons are good, and that party speakers rule the world. Voting is open until April 16.  ⁠https://vote.webbyawards.com/PublicVoting#/2026/podcasts/shows/technology⁠ Further reading: ⁠Ban Cookie Banners: A Case Study in Tech Regulation by Kate Klonick⁠ ⁠Kate's website⁠ ⁠Google Maps is getting AI-powered ‘Ask Maps' feature and more immersive navigation ⁠ ⁠I let Gemini in Google Maps plan my day and it went surprisingly well ⁠ ⁠TCL's new Nxtpaper phones have a dedicated button for maximum monochrome ⁠ ⁠Boox Palma 2 Pro review: one step forward, one step back ⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices